데이터셋 상세
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NEXGDDP CMIP6 OCONUS
This EnviroAtlas dataset contains projected change in 30-year normals in maximum temperature, minimum temperature, evapotranspiration, and precipitation, for Alaska, Hawaii, Puerto Rico, the U.S. Virgin Islands, American Samoa, Guam and Commonwealth of the Northern Mariana Islands. This dataset was created using the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP), developed using Global Climate Models (GCMs) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) across four scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate projected changes in six climatic variables for each season (fall, spring, summer, winter) and annually for five 30-year periods: recent history (1976-2005) to near-term future (2025-2054) recent history (1976-2005) to mid-century (2045-2074) recent history (1976-2005) to end-of-century (2070-2099) near-term future (2025-2054) to mid-century (2045 to 2074) near-term future (2025-2054) to end-of-century (2070 to 2099) The six climatic variables included in the dataset are change in: total precipitation [in and fraction] total potential evapotranspiration [in and fraction] maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an NEX-GDDP-CMIP6 ensemble median for each variable for each HUC12. Not all GCMs downscaled in NEX-GDDP-CMIP6 had availability for every variable and scenario combination. Due to low historical values in precipitation and potential evapotranspiration, the data for Alaska is not available in fraction unit. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. EnviroAtlas includes a user-friendly interactive map for data discovery, https://enviroatlas.epa.gov/enviroatlas/interactivemap.
연관 데이터
EnviroAtlas - Projected Change in Minimum Temperature by 12-Digit HUC for Hawaii
공공데이터포털
This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
EnviroAtlas - Projected Change in Maximum Temperature by 12-Digit HUC for Hawaii
공공데이터포털
This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
EnviroAtlas - Projected Change in Precipitation by 12-Digit HUC for Hawaii
공공데이터포털
This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
EnviroAtlas - Projected Change in Precipitation by 12-Digit HUC for Hawaii
공공데이터포털
This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
Hawaiian Islands annual and mean seasonal variables for baseline and future (RCP 4.5 and RCP 8.5) climate scenarios
공공데이터포털
We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research (NCAR). We summarized the monthly data from these two projections into a suite of 19 bioclimatic variables that provide detailed information about annual and seasonal mean climatic conditions specifically for the Hawaiian Islands. These bioclimatic variables are available state-wide for three climate scenarios: baseline climate (1990-2009) and future climate (2080-2099) under RCP 4.5 (IPRC projections only) and RCP 8.5 (both IPRC and NCAR projections). Aside from these typical bioclimatic variables, we also calculated annual and mean seasonal variables for all scenarios based on the dry (May-October) and wet (November-April) seasonality of Hawaiian climate. As Hawai’i is characterized by two 6-month seasons, we also provide mean seasonal variables for all scenarios based on the dry (May-October) and wet (November-April) seasonality of Hawaiian climate.
Hawaiian Islands annual and mean seasonal variables for baseline and future (RCP 4.5 and RCP 8.5) climate scenarios
공공데이터포털
We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research (NCAR). We summarized the monthly data from these two projections into a suite of 19 bioclimatic variables that provide detailed information about annual and seasonal mean climatic conditions specifically for the Hawaiian Islands. These bioclimatic variables are available state-wide for three climate scenarios: baseline climate (1990-2009) and future climate (2080-2099) under RCP 4.5 (IPRC projections only) and RCP 8.5 (both IPRC and NCAR projections). Aside from these typical bioclimatic variables, we also calculated annual and mean seasonal variables for all scenarios based on the dry (May-October) and wet (November-April) seasonality of Hawaiian climate. As Hawai’i is characterized by two 6-month seasons, we also provide mean seasonal variables for all scenarios based on the dry (May-October) and wet (November-April) seasonality of Hawaiian climate.
Hawaiian Islands 19 bioclimatic variables for baseline and future (RCP 4.5 and RCP 8.5) climate scenarios
공공데이터포털
We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research (NCAR). We summarized the monthly data from these two projections into a suite of 19 bioclimatic variables that provide detailed information about annual and seasonal mean climatic conditions specifically for the Hawaiian Islands. These bioclimatic variables are available state-wide for three climate scenarios: baseline climate (1990-2009) and future climate (2080-2099) under RCP 4.5 (IPRC projections only) and RCP 8.5 (both IPRC and NCAR projections). As Hawai’i is characterized by two 6-month seasons, we also provide mean seasonal variables for all scenarios based on the dry (May-October) and wet (November-April) seasonality of Hawaiian climate.
Hawaiian Islands 19 bioclimatic variables for baseline and future (RCP 4.5 and RCP 8.5) climate scenarios
공공데이터포털
We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research (NCAR). We summarized the monthly data from these two projections into a suite of 19 bioclimatic variables that provide detailed information about annual and seasonal mean climatic conditions specifically for the Hawaiian Islands. These bioclimatic variables are available state-wide for three climate scenarios: baseline climate (1990-2009) and future climate (2080-2099) under RCP 4.5 (IPRC projections only) and RCP 8.5 (both IPRC and NCAR projections). As Hawai’i is characterized by two 6-month seasons, we also provide mean seasonal variables for all scenarios based on the dry (May-October) and wet (November-April) seasonality of Hawaiian climate.
EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for Hawaii (1971–2000)
공공데이터포털
This annual data was accessed from the PRISM project website (https://https://prism.oregonstate.edu/normals_other/public/pacisl/grids/) and has a spatial resolution of 15 arcsec (400 m). The three climatic variables included in the dataset are total precipitation (inches), maximum temperature (degrees Fahrenheit), and minimum temperature (degrees Fahrenheit). PRISM Climate Group at Oregon State University used climate observations from monitoring stations and interpolated to a gridded format using the PRISM model (Parameter-elevation Regressions on Independent Slopes Model). Interpolation was trained using a DEM (digital elevation model) to improve performance in mountainous regions. The PRISM temperature data were originally reported in °C but were converted to °F. The PRISM precipitation data were originally reported in millimeters but were converted to inches. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets). From Original PRISM Metadata (https://prism.oregonstate.edu/normals_other/public/pacisl/metadata/): Abstract: This data set contains spatially gridded average monthly and annual precipitation and temperature for the climatological period 1971–2000. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Chris Daly of the PRISM Group, OSU. Purpose: Display and/or analyses requiring spatially distributed monthly or annual precipitation and temperature for the climatological period 1971–2000 Supplementary Information: There are many methods of interpolating climate from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in climate that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data for a 30 yr climatological average (e.g. 1971- 2000 average) and an underlying grid such as a digital elevation model (DEM) to generate gridded estimates of monthly and annual precipitation and temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes. Grids were modeled on a monthly basis. Annual grids of temperature were produced by averaging the monthly grids, and summing for precipitation. Reports and papers on PRISM can be obtained from the PRISM Group website Completeness Report: Point estimates of precipitation and temperature originated from some or all of the following sources: 1) National Weather Service (NWS) Cooperative (COOP) stations, 2) Natural Resources Conservation Service (NRCS) SNOTEL, 3) United States Forest Service (USFS) and Bureau of Land Management (BLM) RAWS Stations, 4) Bureau of Reclemation (AGRIMET) stations, 5) California Data Exchange Center (CDEC) stations, 6) Storage guages, 7) NRCS Snowcourse stations, 8) Other State and local station networks, 9) Estimated station data, 10) Canadian stations, 11) Upper air stations, and 12) NWS/Federal Aviation Administration (FAA) Automated surface observation stations (ASOS). All COOP station data were subjected to quality control checks by the National Climatic Data Center (NCDC).
EnviroAtlas - Projected Change in Maximum Temperature by 12-Digit HUC for Guam and the Commonwealth of the Northern Mariana Islands
공공데이터포털
This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).