tsgettoolbox.tsgettoolbox.ldas_gldas_noah_v2_1

tsgettoolbox.tsgettoolbox.ldas_gldas_noah_v2_1(lat=None, lon=None, variables=None, startDate=None, endDate=None, variable=None)

global:0.25deg:2000-:3H:GLDAS NOAH hydrology model results

The time zone is always UTC.

GLDAS Version 2.1 (GLDAS-2.1) Forcing Data Sets

The GLDAS-2.1 simulations were forced with National Oceanic and Atmospheric Administration (NOAA)/Global Data Assimilation System (GDAS) atmospheric analysis fields (Derber et al., 1991), the disaggregated Global Precipitation Climatology Project (GPCP) V1.3 Daily Analysis precipitation fields (Adler et al., 2003; Huffman et al., 2001), and the Air Force Weather Agency’s AGRicultural METeorological modeling system (AGRMET) radiation fields. The simulation was only used with GDAS and GPCP from January 2000 to February 2001, followed by the addition of AGRMET from March 1, 2001 onwards.

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 V2.1	0.25x0.25	-60, 90	-180, 180	3 hour 2000-01-01 to present

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_1_Albedo_inst	Albedo	percent
  GLDAS_NOAH025_3H_2_1_AvgSurfT_inst	Average surface skin temperature	K
  GLDAS_NOAH025_3H_2_1_CanopInt_inst	Plant canopy surface_water	kg/m**2
  GLDAS_NOAH025_3H_2_1_ECanop_tavg	Canopy water evaporation	W/m**2
  GLDAS_NOAH025_3H_2_1_ESoil_tavg	Soil evaporation	mm/s
  GLDAS_NOAH025_3H_2_1_Evap_tavg	Evapotranspiration	mm/s
  GLDAS_NOAH025_3H_2_1_LWdown_f_tavg	Downward long-wave radiation flux	W/m**2
  GLDAS_NOAH025_3H_2_1_Lwnet_tavg	Net long-wave radiation flux	W/m**2
  GLDAS_NOAH025_3H_2_1_PotEvap_tavg	Potential evaporation	mm/s
  GLDAS_NOAH025_3H_2_1_Psurf_f_inst	Surface air pressure	Pa
  GLDAS_NOAH025_3H_2_1_Qair_f_inst	Specific humidity	kg/kg
  GLDAS_NOAH025_3H_2_1_Qg_tavg	Heat flux	W/m**2
  GLDAS_NOAH025_3H_2_1_Qh_tavg	Sensible heat net flux	W/m**2
  GLDAS_NOAH025_3H_2_1_Qle_tavg	Latent heat net flux	W/m**2
  GLDAS_NOAH025_3H_2_1_Qs_acc	Storm surface runoff	mm
  GLDAS_NOAH025_3H_2_1_Qsb_acc	Baseflow-groundwater runoff	mm
  GLDAS_NOAH025_3H_2_1_Qsm_acc	Snow melt	mm
  GLDAS_NOAH025_3H_2_1_Rainf_f_tavg	Total precipitation rate	mm/s
  GLDAS_NOAH025_3H_2_1_Rainf_tavg	Rain precipitation rate	mm/s
  GLDAS_NOAH025_3H_2_1_RootMoist_inst	Root zone soil moisture	mm
  GLDAS_NOAH025_3H_2_1_SnowDepth_inst	Snow depth	m
  GLDAS_NOAH025_3H_2_1_Snowf_tavg	Snow precipitation rate	mm/s
  GLDAS_NOAH025_3H_2_1_SoilMoi0_10cm_inst	Soil moisture content (0-10 cm)	mm
  GLDAS_NOAH025_3H_2_1_SoilMoi100_200cm_inst	Soil moisture content (100-200 cm)	mm
  GLDAS_NOAH025_3H_2_1_SoilMoi10_40cm_inst	Soil moisture content (10-40 cm)	mm
  GLDAS_NOAH025_3H_2_1_SoilMoi40_100cm_inst	Soil moisture content (40-100 cm)	mm
  GLDAS_NOAH025_3H_2_1_SoilTMP0_10cm_inst	Soil temperature (0-10 cm)	K
  GLDAS_NOAH025_3H_2_1_SoilTMP100_200cm_inst	Soil temperature (100-200 cm)	K
  GLDAS_NOAH025_3H_2_1_SoilTMP10_40cm_inst	Soil temperature (10-40 cm)	K
  GLDAS_NOAH025_3H_2_1_SoilTMP40_100cm_inst	Soil temperature (40-100 cm)	K
  GLDAS_NOAH025_3H_2_1_SWdown_f_tavg	Downward shortwave radiation flux	W/m**2
  GLDAS_NOAH025_3H_2_1_SWE_inst	Snow depth water equivalent	mm
  GLDAS_NOAH025_3H_2_1_Swnet_tavg	Net shortwave radiation flux	W/m**2
  GLDAS_NOAH025_3H_2_1_Tair_f_inst	Near surface air temperature	K
  GLDAS_NOAH025_3H_2_1_Tveg_tavg	Transpiration	W/m**2
  GLDAS_NOAH025_3H_2_1_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”.