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However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa.", "width": 3840, "height": 2160, "pixels": 8294400 } } ], "extra_data": {} }, { "id": 320573, "url": "https://svs.gsfc.nasa.gov/4784/#media_group_320573", "widget": "Basic text with HTML", "title": "", "caption": "", "description": "El Niño-Southern Oscillation (ENSO) is an irregularly recurring climate pattern characterized by warmer (El Niño) and colder (La Niña) than usual ocean temperatures in the equatorial Pacific, which creates a ripple effect of anticipated weather changes in far-spread regions of our planet. Weather changes associated with the ENSO phenomenon result in climate anomalies related to each other, such as rainfall, and vegetation anomaly conditions that trigger outbreaks of infectious diseases of public health concern in different regions around the world. These distant weather effects are called teleconnections. Therefore the effects of ENSO are called ENSO teleconnections, highlighting that warmer or colder than usual ocean temperatures in equatorial pacific with extents (5N-5S, 120W-170W) affect areas far from the source typically 2-3 months after.

During the last 20 years NASA scientist Dr. Assaf Anyamba and colleagues have been studying ENSO teleconnections by monitoring various climate datasets, among them Sea Surface Temperature and Precipitation Anomaly datasets from NASA and National Oceanic and Atmospheric Administration (NOAA) and Vegetation Index Anomalies from NASA’s Earth Observing System Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard the Terra (EOS AM-1) spacecraft. At the same time, the science team has been collecting, cataloguing and analyzing patterns and sources of infectious disease outbreaks worldwide (see data visualization Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (4K version)). Furthermore, the science team has been collecting data on mosquito vectors from different sites and carrying out long-term comprehensive research studies in South Africa to gain a better understanding of all components of Rift Valley fever including livestock, wildlife and humans.

Rift Valley fever (RVF) is an acute viral disease of domestic animals (cattle, buffalo, sheep, goats, and camels), but it also affects humans. It is spread by the bite of various Aedes and Culex mosquito species that carry the Rift Valley fever virus (RVFV). Large outbreaks termed epizootics (in livestock) and epidemics (humans) occur during periods of above normal and persistent rainfall. Such rainfall, floods mosquito habitats called dambos or pans leading to emergence of large numbers of RVF mosquito vectors. Rift Valley fever disease causes severe mortalities (80-100%) and abortion in livestock affecting the trade economy in the regions it occurs (for ex. ~$60M loss in East Africa during the 2006-2007 outbreak, ~$17.8M loss in South Africa, during the 2010 outbreak). In humans, RVF can manifest in various ways. For example, it can vary from a mild influenza-like illness and it can even cause severe hemorrhage, but also it can turn into hepatitis, retinitis (inflammation of the retina) and encephalitis (inflammation of the brain). The mortality in humans varies and ranges between 1-35% of those infected. It is classified as a cross-over pathogen of national and international security and of public health importance.

The data visualization featured on this page showcases the relationship between ENSO teleconnections and Rift Valley fever outbreaks in South Africa during the period 2008-2011. The visualization comprises of two parts:

Top:
On the top part we can see three separate spheres representing the earth with three distinct datasets. On the left, Sea Surface Temperature (SST) anomaly data are mapped on water and over the equatorial Pacific, the Nino 3.4 Index SST region is highlighted. In the middle Precipitation anomaly data has been mapped over the land in the African continent. A grey inset highlights the South Africa region of interest. On the right vegetation index anomalies and Rift Valley fever outbreak locations have been mapped in the African continent and a grey inset highlights the region of interest. The region of interest is the area where RVF outbreaks peak with extents (15E-33E, 26S-35S).

Bottom:
On the bottom, a synchronized data dashboard for the same period, tracks and visualizes indicators from the four different data sources represented in the top part. These four indicators are:
  1. Number of Rift Valley fever (RVF) disease outbreak locations in the South Africa region with extents (15E-33E, 26S-35S)
  2. Normalized Difference Vegetation Index (NDVI) Anomaly in the South Africa region with extents 1(5E-33E, 26S-35S)
  3. Precipitation Anomaly in the South Africa region with extents (15E-33E, 26S-35S)
  4. Nino 3.4 Index Region Sea Surface Temperature Anomaly (SST) with extents (5N-5S, 120W-170W)

As the timeline unfolds, labels reveal the El Niño, La Niña periods and the high-risk RVF periods to help guide the viewer on the patterns and teleconnections.

We can see a spike of RVF outbreaks during February-May 2010 and another one during February-May 2011. These outbreaks are linked to ENSO teleconnections during the period of 2008-2011. The relationship between ENSO induced anomalous rainfall and disease outbreaks is clearly illustrated by outbreak patterns of Rift Valley fever in South Africa. During the La Niña phase of ENSO, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal rainfall and a large RVF outbreak in central South Africa.

To explain a bit further the weather patterns and teleconnections, lets take a closer look at the sequence of events and their timelines. During 2009-2010 the El Niño event (May 2009-March 2010) was followed by an increase in rainfall in South Africa. This cumulative precipitation resulted in an increase of vegetation that manifested on October 2009. This increase of vegetation was followed by a spike of RVF outbreaks starting 3 months after (January/February 2010). The impacts of precipitation and vegetation on the outbreaks of RVF in the region of South Africa have been visualized with data on the entries: Precipitation Anomaly and Rift Valley fever (RVF) outbreaks in South Africa: 2008-2011 and Vegetation Index Anomalies and Rift Valley fever (RVF) outbreaks in South Africa region: 2008-2011

The strong relationship between ENSO events and disease outbreaks underscores the importance of seasonal forecasts. Since disease outbreaks typically manifest 2-3 months after the start of El Niño and La Nina events, early and regular climate monitoring, paired with the use of monthly and seasonal climate forecasts become significant tools for disease control and prevention. Findings of an earlier scientific study by Dr. Assaf Anyamba et al. published in the journal Nature Scientific Reports with the title Global Disease Outbreaks Associated with the 2015-2016 El Niño event suggests that by monitoring monthly climate datasets, country public health agencies and organizations such as the United Nations' World Health Organization and Food and Agriculture Organizations, can utilize early warning forecasts to undertake preventive measures to minimize the spread of ecologically coupled diseases.
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Supported with funding from the Defense Health Agency-Armed Forces Health Surveillance Branch (AFHSB) Global Emerging Infections Surveillance and Response System (GEIS) under Project #P0072_19_NS


The rest of this webpage offers additional versions, colorbar information, frames and layers associated with the development of this data-driven visualization.", "items": [], "extra_data": {} }, { "id": 320575, "url": "https://svs.gsfc.nasa.gov/4784/#media_group_320575", "widget": "Video player", "title": "", "caption": "", "description": "This visualization is similar to the one above, except the data dashboard is unveiled for the entire period 2008-2011.

During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa.", "items": [ { "id": 230182, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386824, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SST_Precip_NDVI_DashboardOn_2008_2011_3840x2160_0182_print.jpg", "filename": "SST_Precip_NDVI_DashboardOn_2008_2011_3840x2160_0182_print.jpg", "media_type": "Image", "alt_text": "This visualization is similar to the one above, except the data dashboard is unveiled for the entire period 2008-2011.During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 230178, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386823, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/frames/3840x2160_16x9_60p/ENSO_TeleconnectionsPlotsOn/", "filename": "ENSO_TeleconnectionsPlotsOn", "media_type": "Frames", "alt_text": "This visualization is similar to the one above, except the data dashboard is unveiled for the entire period 2008-2011.During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230179, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386826, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/frames/3840x2160_16x9_30p/ENSO_TeleconnectionsPlotsOn/", "filename": "ENSO_TeleconnectionsPlotsOn", "media_type": "Frames", "alt_text": "This visualization is similar to the one above, except the data dashboard is unveiled for the entire period 2008-2011.During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230180, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386821, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SST_Precip_NDVI_DashboardOn_2008_2011_3840x2160_p30.mp4", "filename": "SST_Precip_NDVI_DashboardOn_2008_2011_3840x2160_p30.mp4", "media_type": "Movie", "alt_text": "This visualization is similar to the one above, except the data dashboard is unveiled for the entire period 2008-2011.During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230181, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386822, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SST_Precip_NDVI_DashboardOn_2008_2011_3840x2160_0182.tif", "filename": "SST_Precip_NDVI_DashboardOn_2008_2011_3840x2160_0182.tif", "media_type": "Image", "alt_text": "This visualization is similar to the one above, except the data dashboard is unveiled for the entire period 2008-2011.During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230183, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386825, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SST_Precip_NDVI_DashboardOn_2008_2011_3840x2160_p30.webm", "filename": "SST_Precip_NDVI_DashboardOn_2008_2011_3840x2160_p30.webm", "media_type": "Movie", "alt_text": "This visualization is similar to the one above, except the data dashboard is unveiled for the entire period 2008-2011.During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa.", "width": 3840, "height": 2160, "pixels": 8294400 } } ], "extra_data": {} }, { "id": 320576, "url": "https://svs.gsfc.nasa.gov/4784/#media_group_320576", "widget": "Single image", "title": "", "caption": "", "description": "This set of frames provides the data dashboard timeline for the period 2008-2011. The dashboard tracks and visualizes indicators from four different data sources:

1. Number of Rift Valley fever (RVF) disease outbreaks for the South Africa region, with extents (15E-33E, 26S-35S)

2. Normalized Difference Vegetation Index (NDVI) Anomaly for the South Africa region with extents (15E-33E, 26S-35S)

3. Preiciptation Anomaly for the South Africa region with extents (15E-33E, 26S-35S)

4. Nino 3.4 Index Region Sea Surface Temperature Anomaly (SST), with extents (5N-5S, 120W-170W)

This set of frames include the labels for the El Niño, La Niña and High-risk RVF periods during 2009, 2010 and 2011. Frames are provided with transparency.", "items": [ { "id": 230186, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386829, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/Dashboard_Layer_2008_2011_3840x2160_2970_print.jpg", "filename": "Dashboard_Layer_2008_2011_3840x2160_2970_print.jpg", "media_type": "Image", "alt_text": "This set of frames provides the data dashboard timeline for the period 2008-2011. The dashboard tracks and visualizes indicators from four different data sources: 1. Number of Rift Valley fever (RVF) disease outbreaks for the South Africa region, with extents (15E-33E, 26S-35S)2. Normalized Difference Vegetation Index (NDVI) Anomaly for the South Africa region with extents (15E-33E, 26S-35S)3. Preiciptation Anomaly for the South Africa region with extents (15E-33E, 26S-35S)4. Nino 3.4 Index Region Sea Surface Temperature Anomaly (SST), with extents (5N-5S, 120W-170W)This set of frames include the labels for the El Niño, La Niña and High-risk RVF periods during 2009, 2010 and 2011. Frames are provided with transparency.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 230185, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386828, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/Dashboard_Layer_2008_2011_3840x2160_2970.png", "filename": "Dashboard_Layer_2008_2011_3840x2160_2970.png", "media_type": "Image", "alt_text": "This set of frames provides the data dashboard timeline for the period 2008-2011. The dashboard tracks and visualizes indicators from four different data sources: 1. Number of Rift Valley fever (RVF) disease outbreaks for the South Africa region, with extents (15E-33E, 26S-35S)2. Normalized Difference Vegetation Index (NDVI) Anomaly for the South Africa region with extents (15E-33E, 26S-35S)3. Preiciptation Anomaly for the South Africa region with extents (15E-33E, 26S-35S)4. Nino 3.4 Index Region Sea Surface Temperature Anomaly (SST), with extents (5N-5S, 120W-170W)This set of frames include the labels for the El Niño, La Niña and High-risk RVF periods during 2009, 2010 and 2011. Frames are provided with transparency.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230184, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386827, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/frames/3840x2160_16x9_60p/Dashboard_Layer/", "filename": "Dashboard_Layer", "media_type": "Frames", "alt_text": "This set of frames provides the data dashboard timeline for the period 2008-2011. The dashboard tracks and visualizes indicators from four different data sources: 1. Number of Rift Valley fever (RVF) disease outbreaks for the South Africa region, with extents (15E-33E, 26S-35S)2. Normalized Difference Vegetation Index (NDVI) Anomaly for the South Africa region with extents (15E-33E, 26S-35S)3. Preiciptation Anomaly for the South Africa region with extents (15E-33E, 26S-35S)4. Nino 3.4 Index Region Sea Surface Temperature Anomaly (SST), with extents (5N-5S, 120W-170W)This set of frames include the labels for the El Niño, La Niña and High-risk RVF periods during 2009, 2010 and 2011. Frames are provided with transparency.", "width": 3840, "height": 2160, "pixels": 8294400 } } ], "extra_data": {} }, { "id": 320577, "url": "https://svs.gsfc.nasa.gov/4784/#media_group_320577", "widget": "Video player", "title": "", "caption": "", "description": "Sea Surface Temperature monthly Anomaly data over the ocean for the period of 2008-2011 with dates and colorbar information. The Nino 3.4 Index Region with extents (5N-5S, 120W-170W) over the equatorial Pacific is highligthed with a gray box.", "items": [ { "id": 230190, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386833, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SSTDates_2008_2011_3840x2160_1885_print.jpg", "filename": "SSTDates_2008_2011_3840x2160_1885_print.jpg", "media_type": "Image", "alt_text": "Sea Surface Temperature monthly Anomaly data over the ocean for the period of 2008-2011 with dates and colorbar information. The Nino 3.4 Index Region with extents (5N-5S, 120W-170W) over the equatorial Pacific is highligthed with a gray box.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 230187, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386831, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/frames/3840x2160_16x9_60p/SSTDates_Colorbar/", "filename": "SSTDates_Colorbar", "media_type": "Frames", "alt_text": "Sea Surface Temperature monthly Anomaly data over the ocean for the period of 2008-2011 with dates and colorbar information. The Nino 3.4 Index Region with extents (5N-5S, 120W-170W) over the equatorial Pacific is highligthed with a gray box.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230188, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386830, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SSTDates_2008_2011_3840x2160_p30.mp4", "filename": "SSTDates_2008_2011_3840x2160_p30.mp4", "media_type": "Movie", "alt_text": "Sea Surface Temperature monthly Anomaly data over the ocean for the period of 2008-2011 with dates and colorbar information. The Nino 3.4 Index Region with extents (5N-5S, 120W-170W) over the equatorial Pacific is highligthed with a gray box.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230189, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386832, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SSTDates_2008_2011_3840x2160_1885.tif", "filename": "SSTDates_2008_2011_3840x2160_1885.tif", "media_type": "Image", "alt_text": "Sea Surface Temperature monthly Anomaly data over the ocean for the period of 2008-2011 with dates and colorbar information. The Nino 3.4 Index Region with extents (5N-5S, 120W-170W) over the equatorial Pacific is highligthed with a gray box.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230191, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386834, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SSTDates_2008_2011_3840x2160_p30.webm", "filename": "SSTDates_2008_2011_3840x2160_p30.webm", "media_type": "Movie", "alt_text": "Sea Surface Temperature monthly Anomaly data over the ocean for the period of 2008-2011 with dates and colorbar information. The Nino 3.4 Index Region with extents (5N-5S, 120W-170W) over the equatorial Pacific is highligthed with a gray box.", "width": 3840, "height": 2160, "pixels": 8294400 } } ], "extra_data": {} }, { "id": 320578, "url": "https://svs.gsfc.nasa.gov/4784/#media_group_320578", "widget": "Single image", "title": "", "caption": "", "description": "Sea Surface Temperature Anomalies for the period of 2008-2011. The frames are provided with transparency to serve as a layer for compositing purposes.", "items": [ { "id": 230194, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386837, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SSTENSO_2008_2011_3840x2160_1885_print.jpg", "filename": "SSTENSO_2008_2011_3840x2160_1885_print.jpg", "media_type": "Image", "alt_text": "Sea Surface Temperature Anomalies for the period of 2008-2011. The frames are provided with transparency to serve as a layer for compositing purposes.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 230192, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386836, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/frames/3840x2160_16x9_60p/SST_Layer/", "filename": "SST_Layer", "media_type": "Frames", "alt_text": "Sea Surface Temperature Anomalies for the period of 2008-2011. The frames are provided with transparency to serve as a layer for compositing purposes.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230193, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386835, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SSTENSO_2008_2011_3840x2160_1885.tif", "filename": "SSTENSO_2008_2011_3840x2160_1885.tif", "media_type": "Image", "alt_text": "Sea Surface Temperature Anomalies for the period of 2008-2011. The frames are provided with transparency to serve as a layer for compositing purposes.", "width": 3840, "height": 2160, "pixels": 8294400 } } ], "extra_data": {} }, { "id": 320579, "url": "https://svs.gsfc.nasa.gov/4784/#media_group_320579", "widget": "Single image", "title": "", "caption": "", "description": "Still image/Layer of the Niño 3.4 Index Region Sea Surface Temperature Anomaly (SST) with transparency. The coordinates of the Niño 3.4 Index Region are: 5N-5S, 120W-170W.

This still image can be overlaid on top of the Sea Surface Temperature (SST) Anomaly sequence provided above to create a composite.", "items": [ { "id": 230196, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386839, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SST_ENSORegion_Layer_3840x2160_print.jpg", "filename": "SST_ENSORegion_Layer_3840x2160_print.jpg", "media_type": "Image", "alt_text": "Still image/Layer of the Niño 3.4 Index Region Sea Surface Temperature Anomaly (SST) with transparency. The coordinates of the Niño 3.4 Index Region are: 5N-5S, 120W-170W. This still image can be overlaid on top of the Sea Surface Temperature (SST) Anomaly sequence provided above to create a composite.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 230195, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386838, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/SST_ENSORegion_Layer_3840x2160.png", "filename": "SST_ENSORegion_Layer_3840x2160.png", "media_type": "Image", "alt_text": "Still image/Layer of the Niño 3.4 Index Region Sea Surface Temperature Anomaly (SST) with transparency. The coordinates of the Niño 3.4 Index Region are: 5N-5S, 120W-170W. This still image can be overlaid on top of the Sea Surface Temperature (SST) Anomaly sequence provided above to create a composite.", "width": 3840, "height": 2160, "pixels": 8294400 } } ], "extra_data": {} }, { "id": 320580, "url": "https://svs.gsfc.nasa.gov/4784/#media_group_320580", "widget": "Video player", "title": "", "caption": "", "description": "Monthly Precipitation Anomaly data in Africa and middle East over the land for the period 2008-2011 with dates and colorbar information.", "items": [ { "id": 230200, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386842, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/PrecipitationAfrica_2008_2011_3840x2160_0212_print.jpg", "filename": "PrecipitationAfrica_2008_2011_3840x2160_0212_print.jpg", "media_type": "Image", "alt_text": "Monthly Precipitation Anomaly data in Africa and middle East over the land for the period 2008-2011 with dates and colorbar information.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 230197, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386843, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/frames/3840x2160_16x9_60p/PrecipitationDates_Colorbar/", "filename": "PrecipitationDates_Colorbar", "media_type": "Frames", "alt_text": "Monthly Precipitation Anomaly data in Africa and middle East over the land for the period 2008-2011 with dates and colorbar information.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230198, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386840, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/PrecipitationAfrica_2008_2011_3840x2160_p30.mp4", "filename": "PrecipitationAfrica_2008_2011_3840x2160_p30.mp4", "media_type": "Movie", "alt_text": "Monthly Precipitation Anomaly data in Africa and middle East over the land for the period 2008-2011 with dates and colorbar information.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230199, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386841, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/PrecipitationAfrica_2008_2011_3840x2160_0212.tif", "filename": "PrecipitationAfrica_2008_2011_3840x2160_0212.tif", "media_type": "Image", "alt_text": "Monthly Precipitation Anomaly data in Africa and middle East over the land for the period 2008-2011 with dates and colorbar information.", "width": 3840, "height": 2160, "pixels": 8294400 } }, { "id": 230201, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386844, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/PrecipitationAfrica_2008_2011_3840x2160_p30.webm", "filename": "PrecipitationAfrica_2008_2011_3840x2160_p30.webm", "media_type": "Movie", "alt_text": "Monthly Precipitation Anomaly data in Africa and middle East over the land for the period 2008-2011 with dates and colorbar information.", "width": 3840, "height": 2160, "pixels": 8294400 } } ], "extra_data": {} }, { "id": 320581, "url": "https://svs.gsfc.nasa.gov/4784/#media_group_320581", "widget": "Single image", "title": "", "caption": "", "description": "This set of frames visualizes monthly Precipitation Anomaly data in Africa for the period of 2008-2011.", "items": [ { "id": 230204, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386847, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/Precip_2008_2012_3840x2160_0212_print.jpg", "filename": "Precip_2008_2012_3840x2160_0212_print.jpg", "media_type": "Image", "alt_text": "This set of frames visualizes monthly Precipitation Anomaly data in Africa for the period of 2008-2011.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 230202, "type": "media", "extra_data": null, "title": null, "caption": null, "instance": { "id": 386846, "url": 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of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal vegetaion over land (green) and RVF outbreak locations (orange pins). || NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg (1024x576) [102.7 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_searchweb.png (320x180) [57.8 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_thm.png (80x40) [5.0 KB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [35.6 MB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.webm (1920x1080) [7.1 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || NDVI_RVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [72.6 MB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657.tif (3840x2160) [31.6 MB] || ", "release_date": "2020-03-04T00:00:00-05:00", "update_date": "2025-02-02T00:13:09.426850-05:00", "main_image": { "id": 386751, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004782/NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg", "filename": "NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg", "media_type": "Image", "alt_text": "This visualization with corresponding data dashboard shows the relationship between vegetation index anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal vegetaion over land (green) and RVF outbreak locations (orange pins).", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 4783, "url": "https://svs.gsfc.nasa.gov/4783/", "page_type": "Visualization", "title": "Precipitation Anomaly and Rift Valley fever (RVF) outbreaks in South Africa: 2008-2011", "description": "This visualization with corresponding data dashboard shows the relationship between precipitation anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal precipitation over land (blue) and RVF outbreak locations (orange pins). || PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg (1024x576) [97.8 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_searchweb.png (320x180) [57.6 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_thm.png (80x40) [5.2 KB] || PrecipRVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [31.5 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || PrecipRVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [68.2 MB] || PrecipRVF_SAfrica_Composite_3840x2160_3422.tif (3840x2160) [4.0 MB] || PrecipRVF_SAfrica_Composite_3840x2160_p30.webm (3840x2160) [14.1 MB] || ", "release_date": "2020-02-27T00:00:00-05:00", "update_date": "2025-02-02T22:45:20.294104-05:00", "main_image": { "id": 386570, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004783/PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg", "filename": "PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg", "media_type": "Image", "alt_text": "This visualization with corresponding data dashboard shows the relationship between precipitation anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal precipitation over land (blue) and RVF outbreak locations (orange pins). ", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 4724, "url": "https://svs.gsfc.nasa.gov/4724/", "page_type": "Visualization", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in Africa and Middle East during 2000-2018", "description": "Data visualization featuring vegetation index anomalies over Africa and Middle East and locations of Rift Valley Fever (RVF) outbreaks (orange pins) during the period of 2000-2018. Frames are provided in 4K resolution. || Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg (1024x576) [78.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_searchweb.png (320x180) [48.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_thm.png (80x40) [4.4 KB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.mp4 (1920x1080) [88.7 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.webm (1920x1080) [25.5 MB] || Africa_NDVIRVF_2000_2018_Composite (3840x2160) [0 Item(s)] || Africa_NDVIRVF_2000_2018_3840x2160_2430.tif (3840x2160) [6.0 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_p30.mp4 (3840x2160) [283.2 MB] || ", "release_date": "2020-02-21T00:00:00-05:00", "update_date": "2025-02-02T00:12:08.568503-05:00", "main_image": { "id": 392091, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004724/Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg", "filename": "Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg", "media_type": "Image", "alt_text": "Data visualization featuring vegetation index anomalies over Africa and Middle East and locations of Rift Valley Fever (RVF) outbreaks (orange pins) during the period of 2000-2018. Frames are provided in 4K resolution.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 4747, "url": "https://svs.gsfc.nasa.gov/4747/", "page_type": "Visualization", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in South Africa during 2009-2011", "description": "This visualization shows the relationship between vegetation index anomalies (Normalized Difference Vegetation Index - NDVI) data and outbreak locations of Rift Valley fever (RVf) during 2008 and 2011. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa slowly to take a closer look at the above normal vegetation (green) and RVF outbreak locations (orange pins). Frames are provided in 4K resolution. || SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg (1024x576) [86.2 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_searchweb.png (320x180) [56.0 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_thm.png (80x40) [4.5 KB] || SAfrica_NDVIRVFComposite_1080p30.mp4 (1920x1080) [31.6 MB] || SAfrica_NDVIRVFComposite_1080p30.webm (1920x1080) [7.0 MB] || Composite (3840x2160) [0 Item(s)] || SAfrica_NDVIRVFwDates_3840x2160_1263.tif (3840x2160) [7.6 MB] || SAfrica_NDVIRVFComposite_3840x2160_p30.mp4 (3840x2160) [96.4 MB] || ", "release_date": "2020-02-21T00:00:00-05:00", "update_date": "2025-02-02T00:12:35.273066-05:00", "main_image": { "id": 392107, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004747/SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg", "filename": "SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg", "media_type": "Image", "alt_text": "This visualization shows the relationship between vegetation index anomalies (Normalized Difference Vegetation Index - NDVI) data and outbreak locations of Rift Valley fever (RVf) during 2008 and 2011. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa slowly to take a closer look at the above normal vegetation (green) and RVF outbreak locations (orange pins). Frames are provided in 4K resolution.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 4785, "url": "https://svs.gsfc.nasa.gov/4785/", "page_type": "Visualization", "title": "Sea Surface Temperature Anomalies and Patterns of Global Disease Outbreaks: 2009-2018 (4K version)", "description": "This webpage provides the 4K version of: Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated), released on January 6, 2020.Content has been created for 4K display systems that can handle finer resolution and details. It is recommended to use content from this version for HD (1920x1080) and lower resolutions. || ", "release_date": "2020-01-09T00:00:00-05:00", "update_date": "2025-02-02T00:13:15.129941-05:00", "main_image": { "id": 388258, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004785/CompositeWLabel_2009_2018_3840x2160_30fps_0852_print.jpg", "filename": "CompositeWLabel_2009_2018_3840x2160_30fps_0852_print.jpg", "media_type": "Image", "alt_text": "This visualization shows the variability in global sea surface temperature anomalies, the associated ENSO index timeline and locations of infectious disease outbreaks over the global land surface. Content is available in 4K resolution.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 4781, "url": "https://svs.gsfc.nasa.gov/4781/", "page_type": "Visualization", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated)", "description": "This visualization shows the variability in global sea surface temperature anomalies, the associated ENSO index timeline and locations of infectious disease outbreaks over the global land surface. || CompositeWLabel_2009_2018_1920x108060fps_1705_print.jpg (1024x576) [135.9 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_searchweb.png (320x180) [82.6 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_thm.png (80x40) [7.1 KB] || Composite_StrongElNino (1920x1080) [0 Item(s)] || Composite_StrongElNino (1920x1080) [0 Item(s)] || CompositeWLabel_2009_2018_1920x1080_p30.mp4 (1920x1080) [22.1 MB] || CompositeWLabel_2009_2018_1920x108060fps_1705.tif (1920x1080) [1.3 MB] || CompositeWLabel_2009_2018_1920x1080_p30.webm (1920x1080) [4.6 MB] || CompositeWLabel_2009_2018_1920x1080_p30.mp4.hwshow [205 bytes] || ", "release_date": "2020-01-06T00:00:00-05:00", "update_date": "2025-02-02T00:13:06.818408-05:00", "main_image": { "id": 388349, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004781/CompositeWLabel_2009_2018_1920x108060fps_1705_print.jpg", "filename": "CompositeWLabel_2009_2018_1920x108060fps_1705_print.jpg", "media_type": "Image", "alt_text": "This visualization shows the variability in global sea surface temperature anomalies, the associated ENSO index timeline and locations of infectious disease outbreaks over the global land surface. ", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 4765, "url": "https://svs.gsfc.nasa.gov/4765/", "page_type": "Visualization", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018", "description": "El Niño is an irregularly recurring climate pattern characterized by warmer than usual ocean temperatures in the equatorial Pacific, which creates a ripple effect of anticipated weather changes in far-spread regions. This visualization captures monthly Sea Surface Temperature (SST) anomalies around the world from 2009-2018, along with locations of global disease outbreaks and a corresponding timeline showcasing the Niño 3.4 Index. The Niño 3.4 Index represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the above average El Niño years, in which sea surface temperature anomalies peaked during 2015-2016. || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg (1024x576) [130.6 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_searchweb.png (320x180) [79.7 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_thm.png (80x40) [7.0 KB] || Composite (1920x1080) [0 Item(s)] || Composite (1920x1080) [0 Item(s)] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4 (1920x1080) [23.0 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769.tif (1920x1080) [1.3 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.webm (1920x1080) [4.7 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4.hwshow [211 bytes] || ", "release_date": "2019-12-10T00:00:00-05:00", "update_date": "2025-02-02T00:12:46.498564-05:00", "main_image": { "id": 388873, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004765/SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg", "filename": "SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg", "media_type": "Image", "alt_text": "El Niño is an irregularly recurring climate pattern characterized by warmer than usual ocean temperatures in the equatorial Pacific, which creates a ripple effect of anticipated weather changes in far-spread regions. This visualization captures monthly Sea Surface Temperature (SST) anomalies around the world from 2009-2018, along with locations of global disease outbreaks and a corresponding timeline showcasing the Niño 3.4 Index. The Niño 3.4 Index represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the above average El Niño years, in which sea surface temperature anomalies peaked during 2015-2016.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 4693, "url": "https://svs.gsfc.nasa.gov/4693/", "page_type": "Visualization", "title": "Precipitation Anomaly and Dengue Outbreaks in South East Asia: 2015-2016", "description": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between precipitation anomaly in Southeast Asia and dengue outbreaks. Drier than normal habitats drew mosquitoes into populated, urban areas containing the open water needed for laying eggs. As the air warmed, mosquitoes also grew hungrier and reached sexual maturity more quickly, resulting in an increase in mosquito bites. || SEAsia_PrecipDengueComposite_1920x1080_1211_print.jpg (1024x576) [75.8 KB] || SEAsia_PrecipDengueComposite_1920x1080_1211_searchweb.png (320x180) [52.9 KB] || SEAsia_PrecipDengueComposite_1920x1080_1211_thm.png (80x40) [5.4 KB] || SEAsia_PrecipDengueComposite_1920x1080_p30.webm (1920x1080) [6.4 MB] || SEAsia_PrecipDengue_Composite (1920x1080) [0 Item(s)] || SEAsia_PrecipDengueComposite_1920x1080_p30.mp4 (1920x1080) [14.8 MB] || SEAsia_PrecipDengueComposite_1920x1080_1211.tif (1920x1080) [1.5 MB] || SEAsia_PrecipDengueComposite (3840x2160) [0 Item(s)] || ", "release_date": "2019-02-28T09:00:00-05:00", "update_date": "2025-02-02T00:11:30.105895-05:00", "main_image": { "id": 397408, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004693/SEAsia_PrecipDengueComposite_1920x1080_1211_print.jpg", "filename": "SEAsia_PrecipDengueComposite_1920x1080_1211_print.jpg", "media_type": "Image", "alt_text": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between precipitation anomaly in Southeast Asia and dengue outbreaks. Drier than normal habitats drew mosquitoes into populated, urban areas containing the open water needed for laying eggs. As the air warmed, mosquitoes also grew hungrier and reached sexual maturity more quickly, resulting in an increase in mosquito bites.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 4695, "url": "https://svs.gsfc.nasa.gov/4695/", "page_type": "Visualization", "title": "Niño 3.4 Index and Sea Surface Temperature Anomaly Timeline: 1982-2017", "description": "This visualization captures Sea Surface Temperature (SST) anomalies around the world from 1982 to 2017, along with a corresponding timeplot graph focusing on the Niño 3.4 SST Index region (5N-5S, 120W-170W), which represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the El Niño years, in which sea surface temperature anomalies peaked: 1982-1983, 1997-1998, and 2015-2016. || NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg (1024x576) [104.9 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_searchweb.png (320x180) [72.1 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_thm.png (80x40) [6.8 KB] || SST_Nino3.4Index_1982_2017_Composite (1920x1080) [0 Item(s)] || NINO3.4SST_FlatMapComposite_1920x1080_p30.mp4 (1920x1080) [57.2 MB] || NINO3.4SST_FlatMapComposite_1920x1080_00932.tif (1920x1080) [1.4 MB] || NINO3.4SST_FlatMapComposite_1920x1080_p30.webm (1920x1080) [9.3 MB] || SSTNino3.4Index_1982_2017_Composite (3840x2160) [0 Item(s)] || ", "release_date": "2019-02-28T09:00:00-05:00", "update_date": "2025-02-02T22:39:44.671922-05:00", "main_image": { "id": 398258, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004695/NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg", "filename": "NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg", "media_type": "Image", "alt_text": "This visualization captures Sea Surface Temperature (SST) anomalies around the world from 1982 to 2017, along with a corresponding timeplot graph focusing on the Niño 3.4 SST Index region (5N-5S, 120W-170W), which represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the El Niño years, in which sea surface temperature anomalies peaked: 1982-1983, 1997-1998, and 2015-2016.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 4696, "url": "https://svs.gsfc.nasa.gov/4696/", "page_type": "Visualization", "title": "Land Surface Temperature Anomaly and Dengue Outbreaks in South East Asia Region: 2015-2016", "description": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between land surface temperature anomaly in Southeast Asia and dengue outbreaks. Higher than normal land surface temperatures results in an increase of dengue reported locations. || SEAsia_LSTDiseases_1920x1080_1730_print.jpg (1024x576) [85.1 KB] || SEAsia_LSTDiseases_1920x1080_1730_searchweb.png (320x180) [54.4 KB] || SEAsia_LSTDiseases_1920x1080_1730_thm.png (80x40) [5.3 KB] || SEAsia_LSTDengue_Composite (1920x1080) [0 Item(s)] || SEAsia_LSTDiseases_1920x1080_p30.mp4 (1920x1080) [33.8 MB] || SEAsia_LSTDiseases_1920x1080_1730.tif (1920x1080) [1.7 MB] || SEAsia_LSTDiseases_1920x1080_p30.webm (1920x1080) [6.2 MB] || SEAsia_LSTDengue_Composite (3840x2160) [0 Item(s)] || ", "release_date": "2019-02-28T09:00:00-05:00", "update_date": "2025-02-02T00:11:33.263475-05:00", "main_image": { "id": 397244, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004696/SEAsia_LSTDiseases_1920x1080_1730_print.jpg", "filename": "SEAsia_LSTDiseases_1920x1080_1730_print.jpg", "media_type": "Image", "alt_text": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between land surface temperature anomaly in Southeast Asia and dengue outbreaks. Higher than normal land surface temperatures results in an increase of dengue reported locations.", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 4697, "url": "https://svs.gsfc.nasa.gov/4697/", "page_type": "Visualization", "title": "ENSO teleconnections in South East Asia for the period of 2015-2016", "description": "The 2015-2016 strong El Niño event brought changes to weather conditions across the globe that triggered regional infectious disease outbreaks, including mosquito-borne dengue fever in South East Asia. This visualization with corresponding multi-plot graph shows how Sea Surface Temperature anomalies in the equatorial Pacific Ocean (left), resulted in anomalous drought conditions (center) and increase in land surface temperatures (right) in South East Asia. During the 2015-2016 El Niño event, the South East Asia region received below than normal precipitation resulting in drier and warner than normal conditions, which increased the populations of mosquito vectors in urban areas, where there are open water storage containers providing ideal habitats for mosquito production. In addition, the higher than normal temperature on land shortens the maturation time of larvae to adult mosquitos and induces frequent blood feeding/biting of humans by mosquito vectors resulting in the amplification of dengue disease outbreaks over the South East Asia region. || SST_LST_Precip_2014_2016_Comp_print.jpg (1024x576) [82.9 KB] || SST_LST_Precip_2014_2016_Comp_searchweb.png (320x180) [51.5 KB] || SST_LST_Precip_2014_2016_Comp_thm.png (80x40) [6.0 KB] || SST_Precip_LST_Plot_Composite (1920x1080) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4 (1920x1080) [9.7 MB] || SST_LST_Precip_2014_2016_Comp.tif (1920x1080) [1.1 MB] || SST_LST_Precip_2014_2016_Comp_1080p30.webm (1920x1080) [4.2 MB] || TeleconnectionsSEAsia (3840x2160) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4.hwshow [203 bytes] || ", "release_date": "2019-02-28T09:00:00-05:00", "update_date": "2025-02-02T00:11:35.977656-05:00", "main_image": { "id": 398276, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004697/SST_LST_Precip_2014_2016_Comp_print.jpg", "filename": "SST_LST_Precip_2014_2016_Comp_print.jpg", "media_type": "Image", "alt_text": "The 2015-2016 strong El Niño event brought changes to weather conditions across the globe that triggered regional infectious disease outbreaks, including mosquito-borne dengue fever in South East Asia. This visualization with corresponding multi-plot graph shows how Sea Surface Temperature anomalies in the equatorial Pacific Ocean (left), resulted in anomalous drought conditions (center) and increase in land surface temperatures (right) in South East Asia. During the 2015-2016 El Niño event, the South East Asia region received below than normal precipitation resulting in drier and warner than normal conditions, which increased the populations of mosquito vectors in urban areas, where there are open water storage containers providing ideal habitats for mosquito production. In addition, the higher than normal temperature on land shortens the maturation time of larvae to adult mosquitos and induces frequent blood feeding/biting of humans by mosquito vectors resulting in the amplification of dengue disease outbreaks over the South East Asia region.", "width": 1024, "height": 576, "pixels": 589824 } } ], "sources": [], "products": [ { "id": 13662, "url": "https://svs.gsfc.nasa.gov/13662/", "page_type": "Produced Video", "title": "2020 Goddard Summer Film Fest Bonus Material", "description": "How to Animate the Universe || animatorsthumb.png (1920x1080) [2.3 MB] || animatorsthumb_print.jpg (1024x576) [216.8 KB] || animatorsthumb_searchweb.png (180x320) [96.0 KB] || animatorsthumb_thm.png (80x40) [8.0 KB] || Animators_Final_prores.mov (1920x1080) [3.6 GB] || Animators_Final_prores.webm (1920x1080) [33.2 MB] || Animators_Final.mp4 (1920x1080) [496.7 MB] || Animators.en_US.srt [4.4 KB] || Animators.en_US.vtt [4.4 KB] || ", "release_date": "2020-07-14T08:00:00-04:00", "update_date": "2023-05-03T13:44:51.065474-04:00", "main_image": { "id": 384042, "url": "https://svs.gsfc.nasa.gov/vis/a010000/a013600/a013662/animatorsthumb.png", "filename": "animatorsthumb.png", "media_type": "Image", "alt_text": "How to Animate the Universe", "width": 1920, "height": 1080, "pixels": 2073600 } } ], "newer_versions": [], "older_versions": [], "alternate_versions": [] }