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Data story: Mapping Water Availability over North America has been added. The story has been reviewed by the team.
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--- | ||
id: nldas2 | ||
name: "NLDAS-2 Precipitation Forcing Dataset" | ||
description: "NLDAS-2 is a surface meteorological analysis and land-surface model dataset running in operations to produce outputs of soil moisture, snow, surface fluxes, streamflow, etc. for drought monitoring and other applications." | ||
media: | ||
src: ::file ./nldas-cover.png | ||
alt: Landsat 8 — OLI image of the Mississippi River below Memphis, Tennessee on September 16, 2023 at near record low water levels, limiting barge shipments, threatening drinking water supplies, agriculture, and ecosystems.y. | ||
author: | ||
name: LDAS-NASA | ||
url: https://eoimages.gsfc.nasa.gov/images/imagerecords/151000/151897/mississippi_oli_2023259_lrg.jpg | ||
taxonomy: | ||
- name: Topics | ||
values: | ||
- Water Resources | ||
- Hydrology | ||
- Precipitation | ||
- Surface Meteorology | ||
- Drought | ||
- Agriculture | ||
- Disasters | ||
layers: | ||
- id: nldas2 | ||
stacCol: nldas2 | ||
name: Precipitation | ||
type: raster | ||
description: "Precipitation Dataset" | ||
initialDatetime: newest | ||
zoomExtent: | ||
- 0 | ||
- 20 | ||
sourceParams: | ||
colormap_name: magma | ||
rescale: | ||
- 0 | ||
- 200 | ||
nodata: 0 | ||
compare: | ||
datasetId: nldas3 | ||
layerId: nldas3 | ||
mapLabel: | | ||
::js ({dateFns, datetime, compareDatetime}) => { | ||
return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; | ||
} | ||
legend: | ||
unit: | ||
label: mm/month | ||
type: gradient | ||
min: "0" | ||
max: "200" | ||
stops: | ||
- "#000004" | ||
- "#3B0F70" | ||
- "#8C2981" | ||
- "#F37C21" | ||
- "#FCFFA4" | ||
- "#fc8d59" | ||
--- | ||
<Block> | ||
<Prose> | ||
**Temporal Extent:** Jan 2003 to Dec 2021 (January 1979 to present available from the NASA GES DISC) | ||
**Temporal Resolution:** Monthly-averaged (Hourly data available from the NASA GES DISC) | ||
**Spatial Extent:** CONUS (25 to 53 North and -125 to -67 West) | ||
**Spatial Resolution:** 0.125° x 0.125° | ||
**Data type:** Research <br /> | ||
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The precipitation from NLDAS-2 over CONUS is derived from a daily gridded precipitation analysis at 0.125-degrees from NOAA CPC. The data is temporally disaggregated to hourly using a variety of data sources, primarily radar-estimated precipitation amounts from Doppler Stage II data. Outside of CONUS, but still in the 25 to 53 North domain, different datasets are used to generate NLDAS-2 precipitation. See https://ldas.gsfc.nasa.gov/nldas/v2/forcing for details. | ||
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## Source Data Product Citation | ||
- https://doi.org/10.5067/THUF4J1RLSYG NLDAS Primary Forcing Data L4 Monthly 0.125 x 0.125 degree V2.0, Edited by David M. Mocko, NASA/GSFC/HSL, Greenbelt, Maryland, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed:[Data Access Date], 10.5067/2DPKB5B5N14O | ||
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## Version History | ||
V2.0 | ||
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||
</Prose> | ||
</Block> | ||
<Block> | ||
<Prose> | ||
## Key Publications | ||
Xia, Y., Mitchell, K., Ek, M., Sheffield, J., Cosgrove, B., Wood, E., Luo, L., Alonge, C., Wei, H., Meng, J., Livneh, B., Lettenmaier, D., Koren, V., Duan, Q., Mo, K., Fan, Y., Mocko, D., 2012. Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products: WATER AND ENERGY FLUX ANALYSIS. Journal of Geophysical Research: Atmospheres. Vol. 117, No. D3. https://doi.org/10.1029/2011JD016048 | ||
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## Learn More | ||
- https://ldas.gsfc.nasa.gov/nldas/v2/forcing | ||
- <Link to="/stories/nldas">Data Story: Mapping Water Availability over North America</Link> | ||
## License | ||
[Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode) (CC BY 4.0) | ||
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</Prose> | ||
</Block> |
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--- | ||
id: nldas3 | ||
name: "NLDAS-3 Precipitation Forcing Dataset" | ||
description: "NASA is co-developing high-resolution retrospective and real-time data for water resources and agricultural applications" | ||
media: | ||
src: ::file ./nldas-cover.png | ||
alt: Landsat 8 — OLI image of the Mississippi River below Memphis, Tennessee on September 16, 2023 at near record low water levels, limiting barge shipments, threatening drinking water supplies, agriculture, and ecosystems.y. | ||
author: | ||
name: LDAS-NASA | ||
url: https://eoimages.gsfc.nasa.gov/images/imagerecords/151000/151897/mississippi_oli_2023259_lrg.jpg | ||
taxonomy: | ||
- name: Topics | ||
values: | ||
- Water Resources | ||
- Hydrology | ||
- Precipitation | ||
- Surface Meteorology | ||
- Drought | ||
- Agriculture | ||
- Disasters | ||
layers: | ||
- id: nldas3 | ||
stacCol: nldas3 | ||
name: Precipitation | ||
type: raster | ||
description: "Precipitation Dataset" | ||
initialDatetime: newest | ||
zoomExtent: | ||
- 0 | ||
- 20 | ||
sourceParams: | ||
colormap_name: magma | ||
rescale: | ||
- 0 | ||
- 200 | ||
nodata: 0 | ||
compare: | ||
datasetId: nldas3 | ||
layerId: nldas3 | ||
mapLabel: | | ||
::js ({dateFns, datetime, compareDatetime}) => { | ||
return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`; | ||
} | ||
legend: | ||
unit: | ||
label: mm/month | ||
type: gradient | ||
min: "0" | ||
max: "200" | ||
stops: | ||
- "#000004" | ||
- "#3B0F70" | ||
- "#8C2981" | ||
- "#F37C21" | ||
- "#FCFFA4" | ||
- "#fc8d59" | ||
--- | ||
<Block> | ||
<Prose> | ||
**Temporal Extent of sample NLDAS-3 data:** Jan 2001 to Dec 2021 | ||
**Temporal Resolution of sample NLDAS-3 data:** Monthly | ||
**Spatial Extent:** North and Central America (7-72 North, 169-52 West) | ||
**Spatial Resolution:** 0.01° x 0.01° | ||
**Data type:** Research <br /> | ||
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This sample dataset presents a fine scale precipitation analysis from the development of NLDAS-3. NLDAS-3 is currently under development and the final product will include precipitation fields (included here) as well as other surface meteorology such as temperature, radiation, surface pressure, and wind speed. NLDAS-3 represents the next generation (i.e., phase 3) of the North American Land Data Assimilation System phase 2 (NLDAS-2). NLDAS-3 precipitation has been derived by assimilating daily precipitation amounts at 4 km of the NASA Integrated Multi-SatellitE Retrievals for Global Precipitation Measurements GPM (IMERG) and the Environment and Climate Change Canada (ECCC) Canadian Precipitation Analysis (CaPA) into the NASA’s Modern-Era Retrospective analysis for Research and Application, Version 2 (MERRA-2). NLDAS-3 precipitation at 4 km and daily time steps was then downscaled to 1 km using a cloud-cover based algorithm based on datasets from the Moderate Resolution Imaging Spectroradiometer (MODIS) then converted to hourly using a temporal disaggregation which employs MERRA-2 and IMERG datasets. NLDAS-3 covers North and Central America (from latitude 7 to 72 North and longitude 169 to 52 West) at a resolution of 0.01. The sample data available from this page are monthly-averages and an initial version of the still-in-development of the NLDAS-3 precipitation. | ||
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## Source Data Product Citation | ||
Maina et al., (2024), NLDAS-3 surface meteorology 0.01 degree x 0.01 degree V1, Greenbelt, MD, USA, NASA Center for Climate Simulation (NCCS) DataPortal, Accessed: [Data Access Date] | ||
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## Version History | ||
V2.0 | ||
|
||
</Prose> | ||
</Block> | ||
<Block> | ||
<Prose> | ||
## Key Publications | ||
Maina et al., (2024), NLDAS-3 surface meteorology 0.01 degree x 0.01 degree V1, Greenbelt, MD, USA, NASA Center for Climate Simulation (NCCS) DataPortal, Accessed: July 24, 2024. | ||
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Bratseth. (1986). Statistical interpolation by means of successive corrections - BRATSETH - 1986 - Tellus A - Wiley Online Library. Retrieved October 12, 2022, from https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1600-0870.1986.tb00476.x | ||
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Cosgrove, B. A., Lohmann, D., Mitchell, K. E., Houser, P. R., Wood, E. F., Schaake, J. C., et al. (2003). Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project. Journal of Geophysical Research: Atmospheres, 108(D22). https://doi.org/10.1029/2002JD003118 | ||
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Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., et al. (2017). The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). Journal of Climate, 30(14), 5419–5454. https://doi.org/10.1175/JCLI-D-16-0758.1 | ||
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Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., et al. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049. https://doi.org/10.1002/qj.3803 | ||
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Huffman, G. J., Bolvin, D. T., & Nelkin, E. J. (2015). Integrated Multi-satellitE Retrievals for GPM (IMERG) technical documentation. NASA/GSFC Code, 612(2015), 47. | ||
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Kemp, E. M., Wegiel, J. W., Kumar, S. V., Geiger, J. V., Mocko, D. M., Jacob, J. P., & Peters-Lidard, C. D. (2022). A NASA–Air Force Precipitation Analysis for Near-Real-Time Operations. Journal of Hydrometeorology, 23(6), 965–989. https://doi.org/10.1175/JHM-D-21-0228.1 | ||
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Lespinas, F., Fortin, V., Roy, G., Rasmussen, P., & Stadnyk, T. (2015). Performance Evaluation of the Canadian Precipitation Analysis (CaPA). Journal of Hydrometeorology, 16(5), 2045–2064. https://doi.org/10.1175/JHM-D-14-0191.1 | ||
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Maina et al., (2024), NLDAS-3 surface meteorology 0.01 degree x 0.01 degree V1, Greenbelt, MD, USA, NASA Center for Climate Simulation (NCCS) DataPortal, Accessed: July 24, 2024. | ||
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## Learn More | ||
- https://ldas.gsfc.nasa.gov/nldas/v3 | ||
- [Data Story: Mapping Water Availability over North America](https://deploy-preview-403--visex.netlify.app/stories/nldas) | ||
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||
## License | ||
[Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode) (CC BY 4.0) | ||
|
||
</Prose> | ||
</Block> |
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