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NLDAS Data story
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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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siddharth0248 authored Sep 25, 2024
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88 changes: 88 additions & 0 deletions datasets/nldas2.data.mdx
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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 />

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.

## 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

## Version History
V2.0

</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

## 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)

</Prose>
</Block>
105 changes: 105 additions & 0 deletions datasets/nldas3.data.mdx
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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 />

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.

## 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]

## 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.

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

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

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

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

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.

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

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

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.

## 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)

## 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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