Evaluation of the Noah-MP Land Surface Model in WRFV3.4

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Presentation transcript:

Evaluation of the Noah-MP Land Surface Model in WRFV3.4 Mukul Tewari, Kevin Manning, Michael Barlage, Fei Chen, Jimy Dudhia: NCAR Guo-Yue Niu: U Arizona Gang Zhang and Zong-Liang Yang: U Texas (Austin) Jeffrey D. Cetola: US AFWA NCAR is sponsored by the National Science Foundation

Noah-MP – Experimental in WRFv3.4 “Experimental” implies: Not yet tested in a wide variety of situations and configurations A short history of Noah-MP in WRF, as compared to 10+ years for Noah Still finding and fixing bugs Never-ending in the world of model development Still investigating known issues and learning model behavior Results presented here reflect fixes and updates to the WRFv3.4 release Updates planned for the summer 3.4.1 release Related to treatment of radiation, vegetation fraction, vegetation density

Summer/Winter evaluations of Noah-MP in WRF Summertime convective situation – IHOP 2002 Winter/Spring snowmelt situation – Spring 2008

IHOP cases – June 2002 Six successive 24-hour forecasts during a convectively active period 10 Jun 12Z through 16 Jun 12Z 3-km grid size; 800x750 points EDAS Initial and Boundary conditions Soil T and moisture initialized from 18-month Noah HRLDAS spin-up Noah-MP options: dveg = 4 FVEG=Annual max; LAI from tables opt_sfc = 1 Noah-MP Monin-Obukhov exchange coeff. Runtime with Noah-MP 2-3 % longer than with Noah Forest Crop Grass/ Shrub Urban Sparse/barren IHOP Flux Sites

IHOP Flux Station Statistics Average of 9 stations near KS/OK border Sensible Heat Flux (W m-2) Black: Observations Red: Noah Blue: Noah-MP Latent Heat Flux (W m-2) Soil Heat Flux (W m-2) Hours from 12 UTC, 10 Jun 2002

Temperature Statistics for Six 24-hour forecasts as compared to approximately 400 NWS surface stations 2-m T Lowest model level T T (K) RMSE (K) Bias (K) Hours Hours Black: Observations Red: Noah Blue: Noah-MP

Daytime T2 errors – Example 20 UTC 10 June (8-hour forecast) Comparison to NWS surface observations Noah Noah-MP Scale of the dot show difference from observation: Small green dot: 2 K Medium green dot: 5 K Large green dot: 10 K Color: Red– model is warmer than observations; blue – model is colder than observations East of the mountain states, results are comparable between Noah and Noah-MP. Cold bias over the west indicates something is amiss 2,5,10 K

Daytime T2 errors – Another Example 20 UTC 11 June (8-hour forecast) Comparison to NWS surface observations Noah Noah-MP Scale of the dot show difference from observation: Small green dot: 2 K Medium green dot: 5 K Large green dot: 10 K Color: Red– model is warmer than observations; blue – model is colder than observations 2,5,10 K Still some problems with the 2-m Temperature diagnostic in Noah-MP

Noah-MP minus Noah Daytime temperature differences 8-hour forecast valid 20 UTC 10 Jun Lowest model level Temperature 2-m Temperature Temperature problems strictly in the 2-m diagnostic field

Nighttime T2 errors – Example 08 UTC 11 Jun (20-hr forecast) Comparison to NWS surface observations Noah Noah-MP Nighttime 2-m temperatures more consistent between Noah and Noah-MP, though Noah-MP still somewhat on the cold side in the mountains 2,5,10 K

Humidity/Wind Statistics 2-m Mixing Ratio (g/kg) 10-m Wind Speed (m/s) RMSE RMSE Bias Bias Hours Black: Observations Red: Noah Blue: Noah-MP Hours

Precipitation Accumulations over six 24-hour forecasts Noah-MP Noah Stage IV Analysis

WRF/Noah-MP and WRF/Noah Runs Winter/Spring 2008 Two coupled WRF runs using WRFV3.4/Noah-MP, and WRFV3.4/Noah At 12km horizontal resolution: e_we = 113, e_sn = 95, e_vert = 45, NARR data for initialization, Snow is initialized using SNODAS Model Runs start at 15 Feb 2008, 00 UTC; integrated for 2 months Noah-MP options: dveg = 4 opt_crs = 1 opt_btr = 1 opt_run = 1 opt_sfc = 1 opt_frz = 1 opt_inf = 1 opt_rad = 1 opt_alb = 2 opt_snf = 1 opt_tbot = 2 opt_stc = 1 Runtime with Noah-MP 5-6% longer than with Noah Model results compared to: SNOwpack TELemetry (SNOTEL) SWE and TEMP, Modis Land surface temperature, SNODAS (Snow Data Assimilation System) SWE, AMERIFLUX data, and WMO observations over the domain SNOw Data Assimilation System (SNODAS). SNODAS is a modeling and data assimilation system developed by NOHRSC to provide the best possible estimates of snow cover and associated parameters to support hydrologic modeling and analysis.

Niwot Ridge: Sensible Heat Flux and 2m-Temperature 1-7 March 2008 Over snow-covered areas, Noah-MP produces lower surface albedo (closer to obs), higher sensible heating, and higher surface temperature than Noah

GLEES: Sensible Heat Flux and 2m-Temperature 1-7 March 2008

Flagstaff: Sensible Heat Flux and 2m-Temperature 1-7 March 2008

Comparison with SNOTEL Temp: 15 Apr 2008 WRF/Noah-MP 24-hr Avg Temp WRF/Noah 24-hr Avg Temp

SWE comparison with SNODAS 1 Apr & 15 Apr 2008 06UTC

2m-T and 10-m Wind Bias and RMSE over the Domain 1-7 March 2008 (~140 Stations)

Summary New Noah-MP LSM introduced into WRF Version 3.4 Evaluations in summer and winter situations show overall good results as compared to Noah and to observations Sensible and Latent heat fluxes reasonable in both summer and winter Snow cover shows good melt-season behavior and higher temperatures Outstanding issues Daytime T2 calculations in summer Consistency between Noah-MP canopy radiation and turbulence with WRF physics Updates will be available with WRF 3.4.1 release