Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

NLDAS-3 Data story - Edits #540

Closed
wants to merge 2 commits into from
Closed

NLDAS-3 Data story - Edits #540

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
fa750eb
minor edits to content of nldas
siddharth0248 Jan 22, 2025
c42e77b
minor
siddharth0248 Jan 22, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 13 additions & 2 deletions stories/nldas3.stories.mdx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,8 @@ taxonomy:
- Hydrology
- Precipitation
- Surface Meteorology
- Drought
- Drought
- Flood
- Agriculture
- Disasters
---
Expand Down Expand Up @@ -46,7 +47,8 @@ taxonomy:
- Expand the spatial coverage to encompass all of North and Central America, including Alaska, Hawaii, and Puerto Rico (see figures below);
- Utilize high quality surface meteorological data;
- Reduce the current NLDAS-2 latency of 3.5 days to near real-time;
- Upgrade the land surface model to include the latest scientific advancements, such as improved representation of groundwater processes (He et al., 2023); and
- Upgrade the land surface model to include the latest scientific advancements, such as improved representation of groundwater processes (He et al., 2023);
- Include surface water dynamics (e.g., river discharge and depth, flow velocity, surface water storage, flood extent); and
- Incorporate observational constraints by assimilating remote sensing datasets, which can help capture human management of water and vegetation, such as irrigation, groundwater withdrawal, droughts, floods, and hydrological impacts of wildland fire and other disturbances

<Figure>
Expand Down Expand Up @@ -100,6 +102,11 @@ taxonomy:
<td>4 (Noah, VIC, Mosaic, SAC)</td>
<td>1 (Noah-MP)</td>
</tr>
<tr>
<td>Surface Water Modeling</td>
<td> None</td>
<td>1 (HyMAP)</td>
</tr>
<tr>
<td>Data assimilation</td>
<td>None</td>
Expand Down Expand Up @@ -221,6 +228,8 @@ taxonomy:
</Figure>
Schematic diagrams of energy and water budgets and processes represented in Noah-MP version 5.0.

NLDAS-3 will also include NASA’s HyMAP model (Getirana et al., 2017) to simulate inland surface water availability and dynamics.

**Integrating remote sensing data is crucial for accurately depicting the influence of human activities on the land surface, such as agricultural irrigation, groundwater extraction, reservoir management, and wildfires.** To better detect these impacts, we are working to assimilate the following NASA satellite data products in NLDAS-3:

<Figure style={{ display: 'block' }}>
Expand Down Expand Up @@ -310,6 +319,7 @@ taxonomy:
- GIS-enabled data
- Weekly change maps
- Model uncertainty information
- Streamflow and surface water availability

NASA model developers are collecting feedback via our NLDAS GitHub discussion page [here](https://github.com/Earth-Information-System/NLDAS-3/discussions) and with periodic stakeholder workshops. Please join the NASA NLDAS community and help us create the next state-of-the-art land surface and hydrology model!
</Prose>
Expand All @@ -331,6 +341,7 @@ taxonomy:
- ​https://lis.gsfc.nasa.gov/
- Cosgrove, B.A., Lohmann, D., Mitchell, K.E., Houser, P.R., Wood, E.F., Schaake, J.C., Robock, A., Marshall, C., Sheffield, J., Duan, Q., Luo, L., Higgins, R.W., Pinker, R.T., Tarpley, J.D., Meng, J., 2003. Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project. Journal of Geophysical Research: Atmospheres 108. https://doi.org/10.1029/2002JD003118
- Gelaro, R., McCarty, W., Suárez, M.J., Todling, R., Molod, A., Takacs, L., Randles, C.A., Darmenov, A., Bosilovich, M.G., Reichle, R., Wargan, K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., Silva, A.M. da, Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D., Nielsen, J.E., Partyka, G., Pawson, S., Putman, W., Rienecker, M., Schubert, S.D., Sienkiewicz, M., Zhao, B., 2017. The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). Journal of Climate 30, 5419–5454. https://doi.org/10.1175/JCLI-D-16-0758.1
- Getirana, A., Kumar, S., Girotto, M., Rodell, M., 2017. Rivers and floodplains as key components of global terrestrial water storage variability. Geophysical Research Letters, 44, 10,359–10,368. https://doi.org/10.1002/2017GL074684.
- He, C., Valayamkunnath, P., Barlage, M., Chen, F., Gochis, D., Cabell, R., Schneider, T., Rasmussen, R., Niu, G.-Y., Yang, Z.-L., Niyogi, D., Ek, M., 2023. Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability. Geoscientific Model Development 16, 5131–5151. https://doi.org/10.5194/gmd-16-5131-2023
- 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, 965–989. https://doi.org/10.1175/JHM-D-21-0228.1
- Kumar, S.V., Peters-Lidard, C.D., Tian, Y., Houser, P.R., Geiger, J., Olden, S., Lighty, L., Eastman, J.L., Doty, B., Dirmeyer, P., Adams, J., Mitchell, K., Wood, E.F., Sheffield, J., 2006. Land information system: An interoperable framework for high resolution land surface modeling. Environmental Modelling & Software 21, 1402–1415. https://doi.org/10.1016/j.envsoft.2005.07.004
Expand Down
Loading