N: 53 S: 25 E: -67 W: -125
Description
This data set contains the primary forcing hourly data "File A" for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is hourly. The file format is netCDF (converted from the GRIB data files).
The non-precipitation land surface forcing fields for NLDAS-2 are derived from the analysis fields of the NCEP North American Regional Reanalysis (NARR). NARR analysis fields are 32-km spatial resolution and 3-hourly temporal frequency. Those NARR fields that are utilized to generate NLDAS-2 forcing fields are spatially interpolated to the finer resolution of the NLDAS 1/8th-degree grid and then temporally disaggregated to the NLDAS hourly frequency. Additionally, the fields of surface pressure, surface downward longwave radiation, near-surface air temperature, and near-surface specific humidity are adjusted vertically to account for the vertical difference between the NARR and NLDAS fields of terrain height. This vertical adjustment applies the traditional vertical lapse rate of 6.5 K/km for air temperature. The details of the spatial interpolation, temporal disaggregation, and vertical adjustment are presented by Cosgrove et al. (2003).
The surface downward shortwave radiation field in "File A" is a bias-corrected field wherein a bias-correction algorithm was applied to the NARR surface downward shortwave radiation. This bias correction utilizes five years (1996-2000) of the hourly 1/8th-degree GOES-based surface downward shortwave radiation fields derived by Pinker et al. (2003). The potential evaporation field in "File A" is that computed in NARR using the modified Penman scheme of Mahrt and Ek (1984).
The precipitation field in "File A" is not the NARR precipitation forcing, but is rather a product of a temporal disaggregation of a gauge-only CPC analysis of daily precipitation, performed directly on the NLDAS grid and including an orographic adjustment based on the widely-applied PRISM climatology. The precipitation is temporally disaggregated into hourly fields by deriving hourly disaggregation weights from either WSR-88D Doppler radar-based precipitation estimates, 8-km CMORPH hourly precipitation analyses, or NARR-simulated precipitation (based on availability, in order). The latter fields from radar, CMORPH, and NARR are used only to derive disaggregation weights and do not change the daily total precipitation. The field in "File A" that gives the fraction of total precipitation that is convective is an estimate derived from the following two NARR precipitation fields (which are provided in "File B"): NARR total precipitation and NARR convective precipitation (the latter is less than or equal to the NARR total precipitation and can be zero). The Convective Available Potential Energy (CAPE) is the final variable in the forcing data set, also interpolated from NARR.
The hourly land surface forcing fields for NLDAS-2 are grouped into two files, "File A" and "File B". "File A" is the primary (default) forcing file and contains eleven meteorological forcing fields. Details about the generation of the NLDAS-2.0 forcing datasets can be found in Xia et al. (2012).
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
Copy Citation
Documents
READ-ME
GENERAL DOCUMENTATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Quantifying diurnal changes in NO2 due to COVID-19 stay-at-home orders in New York City | Shearston, Jenni A., Cerna-Turoff, Ilan, Hilpert, Markus, Kioumourtzoglou, Marianthi-Anna | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Regression modeling of combined sewer overflows to assess system performance | A. Bizer, Matthew, Kirchhoff, Christine J. | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| How does precipitation data influence the land surface data assimilation for drought monitoring? | Gavahi, Keyhan, Abbaszadeh, Peyman, Moradkhani, Hamid | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (19802020) | Willard, Jared D., Read, Jordan S., Topp, Simon, Hansen, Gretchen J. A., Kumar, Vipin | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Analysis of daily ambient temperature and firearm violence in 100 US cities | Lyons, Vivian H., Gause, Emma L., Spangler, Keith R., Wellenius, Gregory A., Jay, Jonathan | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Contributions of meteorology to ozone variations: Application of deep learning and the Kolmogorov-Zurbenko filter | Sadeghi, Bavand, Ghahremanloo, Masoud, Mousavinezhad, Seyedali, Lops, Yannic, Pouyaei, Arman, Choi, Yunsoo | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling | Tsai, Wen-Ping, Feng, Dapeng, Pan, Ming, Beck, Hylke, Lawson, Kathryn, Yang, Yuan, Liu, Jiangtao, Shen, Chaopeng | Evapotranspiration, Latent Heat Flux, Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Implementation and evaluation of a unified turbulence parameterization throughout the canopy and roughness sublayer in NoahMP snow simulations | AbolafiaRosenzweig, Ronnie, He, Cenlin, Burns, Sean P., Chen, Fei | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| More severe drought detected by the assimilation of brightness temperature and terrestrial water storage anomalies in Texas during 20102013 | Chen, Weijing, Huang, Chunlin, Yang, Zong-Liang | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Space-efficient representations of raster time series | Silva-Coira, Fernando, Parama, Jose R., de Bernardo, Guillermo, Seco, Diego | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Global SatelliteBased Precipitation Products | Liu, Zhong, Ostrenga, Dana, Savtchenko, Andrey, Teng, William, Vollmer, Bruce, Wei, Jennifer, Meyer, David | Total Surface Precipitation Rate, Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature, Geopotential Height | |
| How Does Precipitation Data Influence the Land Surface Data Assimilation Drought Monitoring? | Gavahi, Keyhan, Abbaszadeh, Peyman, Moradkhani, Hamid | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| The Impact of Noah-MP Physical Parameterizations on Modeling Water Availability during Droughts in the TexasGulf Region | Wu, Wen-Ying, Yang, Zong-Liang, Barlage, Michael | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Summer Mean and Extreme Precipitation Over the MidAtlantic Region: Climatological Characteristics and Contributions From Different Precipitation Types | Li, Jianfeng, Qian, Yun, Leung, L. Ruby, Feng, Zhe | Precipitation, Brightness Temperature, Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| BAITSSS Model: An Opportunity to Integrate Remote Sensing and Energy Balance Modeling for In-Season Crop Water Management | Dhungel, Ramesh, Aiken, Rob, Lin, Xiaomao, Colaizzi, Paul D., Baumhardt, R. Louis, OBrien, Dan, Brauer, David | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Flood size increases nonlinearly across the western United States in response to lower snowprecipitation ratios | Davenport, Frances V., HerreraEstrada, Julio E., Burke, Marshall, Diffenbaugh, Noah S. | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature, Heat Flux, Evapotranspiration, Snow, Canopy Characteristics, Leaf Characteristics, Vegetation Cover, Soil Moisture/Water Content, Albedo, Snow Water Equivalent, Runoff | |
| Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture ... | Mao, Yixin, Crow, Wade T., Nijssen, Bart | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature, Precipitation, Precipitation Amount, Precipitation Rate, Snow | |
| Evaluating the Potential and Challenges of an Uncertainty Quantification | Fang, Kuai, Kifer, Daniel, Lawson, Kathryn, Shen, Chaopeng | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Restricted water allocations: Landscape-scale energy balance simulations and adjustments in agricultural water applications | Dhungel, Ramesh, Aiken, Robert, Lin, Xiaomao, Kenyon, Shannon, Colaizzi, Paul D., Luhman, Ray, Baumhardt, R. Louis, OBrien, Dan, Kutikoff, Seth, Brauer, David K. | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| The Applicability of SWOT's Non-Uniform Space-Time Sampling in | Nickles, Cassandra, Beighley, Edward, Feng, Dongmei | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Controls on the Isotopic Composition of Precipitation in the | Sun, Chijun, Shanahan, Timothy M., Partin, Judson | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| A framework for diagnosing factors degrading the streamflow performance of a soil moisture data assimilation system | Mao, Yixin, Crow, Wade T., Nijssen, Bart | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Investigating the relationship between satellite-based freeze/thaw products and land surface temperature | Johnston, Jeremy, Maggioni, Viviana, Houser, Paul | Emissivity, Land Surface Temperature, Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Heat Flux, Evapotranspiration, Snow, Canopy Characteristics, Leaf Characteristics, Vegetation Cover, Soil Moisture/Water Content, Soil Temperature, Albedo, Snow Water Equivalent, Runoff | |
| Propagation of structural uncertainty in watershed hydrologic models | Gupta, A., Govindaraju, R.S. | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Increased bias in evapotranspiration modeling due to weather and vegetation indices data sources | Dhungel, Ramesh, Aiken, Robert, Colaizzi, Paul D., Lin, Xiaomao, Baumhardt, R. Louis, Evett, Steven R., Brauer, David K., Marek, Gary W., OBrien, Dan | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature |