tsgettoolbox.tsgettoolbox.ldas_gldas_noah_v2_0

tsgettoolbox.tsgettoolbox.ldas_gldas_noah_v2_0(lat=None, lon=None, variables=None, startDate=None, endDate=None, variable=None)

global:0.25deg:1948-2014:3H:GLDAS NOAH hydrology model results

The time zone is always UTC.

GLDAS Version 2.0 (GLDAS-2.0) Forcing Data Sets

The GLDAS-2.0 simulations were forced with the Global Meteorological Forcing Data set from Princeton University [Sheffield et al., 2006] from 1948 to 2014.

For more information on GLDAS forcing, please visit https://ldas.gsfc.nasa.gov/gldas/forcing-data.

Noah is National Centers for Environmental Prediction/Oregon State University/Air Force/Hydrologic Research Lab (Noah) Model

The community Noah LSM was developed beginning in 1993 through a collaboration of investigators from public and private institutions, spearheaded by the National Centers for Environmental Prediction. Current development efforts are consistent with the land surface scheme in Weather Research Forecast (WRF) system, under the Unified Noah LSM (Chen et al. 1996; Chen et al. 1997; Koren et al. 1999; Chen et al. 2001; Ek et al. 2003). Noah is a stand-alone, 1-D column model which can be executed in either coupled or uncoupled mode. The model applies finite-difference spatial discretization methods and a Crank-Nicholson time-integration scheme to numerically integrate the governing equations of the physical processes of the soil-vegetation-snowpack medium. Noah has been used operationally in NCEP models since 1996, and it continues to be developed at the University Corporation for Atmospheric Research and National Center for Atmospheric Research, Research Application Laboratory. For more information, go to: https://ral.ucar.edu/model/unified-noah-lsm.

Adler, R.F., G.J. Huffman, A. Chang, R. Ferraro, P. Xie, J. Janowiak, B. Rudolf, U. Schneider, S. Curtis, D. Bolvin, A. Gruber, J. Susskind, P. Arkin, E. Nelkin 2003: The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present). J. Hydrometeor., 4,1147-1167.

Berg, A. A., J. S. Famiglietti, J. P. Walker, and P. R. Houser, 2003: Impact of bias correction to reanalysis products on simulations of North American soil moisture and hydrological fluxes, J. Geophys. Res, 108 (D16), 4490.

Chen, F., K. Mitchell, J. Schaake, Y. Xue, H. Pan, V. Koren, Y. Duan, M. Ek, and A. Betts, Modeling of land-surface evaporation by four schemes and comparison with FIFE observations, J. Geophys. Res.,101 (D3), 7251-7268, 1996.

Chen, F., Z. Janjic, and K. Mitchell, Impact of atmospheric surface layer parameterization in the new land-surface scheme of the NCEP Mesoscale Eta numerical model, Bound.-Layer Meteor., 185, 391-421, 1997.

Chen, F. and J.Dudhia, Coupling an Advanced Land Surface-Hydrology Model with the Penn State-NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity, Mon. Wea. Rev., 129, 569-585, 2001.

Derber, J. C., D. F. Parrish, and S. J. Lord, 1991: The new global operational analysis system at the National Meteorological Center. Weather Forecasting, 6, 538-547.

Ek, M. B., K. E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, and J. D. Tarpley, Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model, J. Geophys. Res., 108(D22), 8851, doi:10.1029/2002JD003296, 2003.

Koren, V., J. Schaake, K. Mitchell, Q. Y. Duan, F. Chen, and J. M. Baker, A parameterization of snowpack and frozen ground intended for NCEP weather and climate models, J. Geophys. Res.,104, 19569-19585, 1999.

Sheffield, J., G. Goteti, and E. F. Wood, 2006: Development of a 50-yr high-resolution global dataset of meteorological forcings for land surface modeling, J. Climate, 19 (13), 3088-3111.

Xie P., and P. A. Arkin, 1996: Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull. Amer. Meteor. Soc., 78, 2539-2558.

Description/Name

Spatial

Lat Range

Lon Range

Time

GLDAS Noah Land Surface Model GLDAS_NOAH025_3H V2.0

0.25x0.25

-60, 90

-180, 180

3 hour 1948-01-01 to 2014-12-31
Parameters:

  • lat (float) – Latitude (required): Enter single geographic latitude point. Use positive values for the northern hemisphere and negative for the southern hemisphere. The valid range is specified in the table above.

  • lon (float) – Longitude (required): Enter single geographic longitude point. Use positive for the eastern hemisphere and negative for the western hemisphere. The valid range is specified in the table above.

  • variables (str) –

    For the command line a comma separated string of variable codes from the following table. Using the Python API a list of variable strings. Valid variable names are specified in the table below.

    LDAS “variables” string

    Description

    Units

    GLDAS_NOAH025_3H_2_0_AvgSurfT_inst

    Average surface skin temperature

    K

    GLDAS_NOAH025_3H_2_0_ESoil_tavg

    Direct evaporation from bare soil

    W/m**2

    GLDAS_NOAH025_3H_2_0_Evap_tavg

    Evapotranspiration

    mm/s

    GLDAS_NOAH025_3H_2_0_LWdown_f_tavg

    Downward long-wave radiation flux

    W/m**2

    GLDAS_NOAH025_3H_2_0_PotEvap_tavg

    Potential evaporation rate

    W/m**2

    GLDAS_NOAH025_3H_2_0_Psurf_f_inst

    Surface air pressure

    Pa

    GLDAS_NOAH025_3H_2_0_Qair_f_inst

    Specific humidity

    kg/kg

    GLDAS_NOAH025_3H_2_0_Qs_acc

    Storm surface runoff

    mm

    GLDAS_NOAH025_3H_2_0_Qsb_acc

    Baseflow-groundwater runoff

    mm

    GLDAS_NOAH025_3H_2_0_Qsm_acc

    Snow melt

    mm

    GLDAS_NOAH025_3H_2_0_Rainf_f_tavg

    Total precipitation rate

    mm/s

    GLDAS_NOAH025_3H_2_0_Rainf_tavg

    Rain precipitation rate

    mm/s

    GLDAS_NOAH025_3H_2_0_RootMoist_inst

    Root zone soil moisture

    mm

    GLDAS_NOAH025_3H_2_0_Snowf_tavg

    Snow precipitation rate

    mm/s

    GLDAS_NOAH025_3H_2_0_SoilMoi0_10cm_inst

    Soil moisture content (0-10 cm)

    mm

    GLDAS_NOAH025_3H_2_0_SoilMoi100_200cm_inst

    Soil moisture content (100-200 cm)

    mm

    GLDAS_NOAH025_3H_2_0_SoilMoi10_40cm_inst

    Soil moisture content (10-40 cm)

    mm

    GLDAS_NOAH025_3H_2_0_SoilMoi40_100cm_inst

    Soil moisture content (40-100 cm)

    mm

    GLDAS_NOAH025_3H_2_0_SoilTMP0_10cm_inst

    Soil temperature (0-10 cm)

    K

    GLDAS_NOAH025_3H_2_0_SoilTMP100_200cm_inst

    Soil temperature (100-200 cm)

    K

    GLDAS_NOAH025_3H_2_0_SoilTMP10_40cm_inst

    Soil temperature (10-40 cm)

    K

    GLDAS_NOAH025_3H_2_0_SWdown_f_tavg

    Downward shortwave radiation flux

    W/m**2

    GLDAS_NOAH025_3H_2_0_Tair_f_inst

    Near surface air temperature

    K

    GLDAS_NOAH025_3H_2_0_Wind_f_inst

    Near surface wind speed

    m/s

  • startDate (str) –

    The start date of the time series.:

    Example: --startDate=2001-01-01T05

    If startDate and endDate are None, returns the entire series.

  • endDate (str) –

    The end date of the time series.:

    Example: --endDate=2002-01-05T05

    If startDate and endDate are None, returns the entire series.

  • variable (str) – DEPRECATED: use “variables” instead to be consistent across “tsgettoolbox”.