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NOAA’s Climate Prediction Center & *Environmental Modeling Center Camp Springs, MD 20746 Impact of High-Frequency Variability of Soil Moisture on Seasonal.

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Presentation on theme: "NOAA’s Climate Prediction Center & *Environmental Modeling Center Camp Springs, MD 20746 Impact of High-Frequency Variability of Soil Moisture on Seasonal."— Presentation transcript:

1 NOAA’s Climate Prediction Center & *Environmental Modeling Center Camp Springs, MD 20746 Impact of High-Frequency Variability of Soil Moisture on Seasonal Precipitation Song Yang, S.-H. Yoo R. Yang*, K. Mitchell*, H. van den Dool, and R. W. Higgins Table of Contents Motivation Model and experiments Results, explanations, & summary Future work

2 Yang and Lau (1998; J. Climate) Motivation

3 2. Model and experiments Model resolution: 32-km in horizontal; 45 levels in vertical Model domain: 10N-90N, 164W-58W Noah Land Model 2.3, with 4 soil layers Implemented in Operational NCEP Eta Model Implemented in NCEP Regional Reanalysis Boundary conditions: NCEP/NCAR Global Reanalysis II Initial conditions: NCEP/NCAR Global Reanalysis II U.S. Air Force daily analysis of snow depth Initial land states data: NCEP/NCAR Global Reanalysis II (in experiment Eta (GRII)) NCEP Regional Reanalysis (in experiment Eta (R/R)) Starting months: December in Eta (GRII) April in Eta (R/R) Length of integrations: 9 months in Eta (GRII) 4 months in Eta (R/R) # of ensemble members: 5 Sea surface temperature, surface albedo, and greenness:Updated daily Data of verifications: NCEP Regional Reanalysis NCEP Land Data Assimilation System NOAA’s Climate Prediction Center Unified Precipitation Global Telecommunications 2. Model and experiments Model resolution: 32-km in horizontal; 45 levels in vertical Model domain: 10N-90N, 164W-58W Noah Land Model 2.3, with 4 soil layers Implemented in Operational NCEP Eta Model Implemented in NCEP Regional Reanalysis Boundary conditions: NCEP/NCAR Global Reanalysis II Initial conditions: NCEP/NCAR Global Reanalysis II U.S. Air Force daily analysis of snow depth Initial land states data: NCEP/NCAR Global Reanalysis II (in experiment Eta (GRII)) NCEP Regional Reanalysis (in experiment Eta (R/R)) Starting months: December in Eta (GRII) April in Eta (R/R) Length of integrations: 9 months in Eta (GRII) 4 months in Eta (R/R) # of ensemble members: 5 Sea surface temperature, surface albedo, and greenness:Updated daily Data of verifications: NCEP Regional Reanalysis NCEP Land Data Assimilation System NOAA’s Climate Prediction Center Unified Precipitation Global Telecommunications 2. Model and experiments Model resolution: 32-km in horizontal; 45 levels in vertical Model domain: 10N-90N, 164W-58W Noah Land Model 2.3, with 4 soil layers Implemented in Operational NCEP Eta Model Implemented in NCEP Regional Reanalysis Boundary conditions: NCEP/NCAR Global Reanalysis II Initial conditions: NCEP/NCAR Global Reanalysis II U.S. Air Force daily analysis of snow depth Initial land states data: NCEP/NCAR Global Reanalysis II (in experiment Eta (GRII)) NCEP Regional Reanalysis (in experiment Eta (R/R)) Starting months: December in Eta (GRII) April in Eta (R/R) Length of integrations: 9 months in Eta (GRII) 4 months in Eta (R/R) # of ensemble members: 5 Sea surface temperature, surface albedo, and greenness:Updated daily Data of verifications: NCEP Regional Reanalysis NCEP Land Data Assimilation System NOAA’s Climate Prediction Center Unified Precipitation Global Telecommunications NCEP Eta Regional Climate Model Resolution:32-km in horizontal; 45 levels in vertical Domain:10N-90N, 164W-58W Noah Land Model 2.3, with 4 soil layers Implemented in Operational NCEP Eta Model Implemented in NCEP Regional Reanalysis Boundary conditions:NCEP/NCAR Global Reanalysis Initial conditions:NCEP/NCAR Global Reanalysis U.S. Air Force daily analysis of snow depth Initial land states:NCEP Regional Reanalysis Model

4 2. Model and experiments Model resolution: 32-km in horizontal; 45 levels in vertical Model domain: 10N-90N, 164W-58W Noah Land Model 2.3, with 4 soil layers Implemented in Operational NCEP Eta Model Implemented in NCEP Regional Reanalysis Boundary conditions: NCEP/NCAR Global Reanalysis II Initial conditions: NCEP/NCAR Global Reanalysis II U.S. Air Force daily analysis of snow depth Initial land states data: NCEP/NCAR Global Reanalysis II (in experiment Eta (GRII)) NCEP Regional Reanalysis (in experiment Eta (R/R)) Starting months: December in Eta (GRII) April in Eta (R/R) Length of integrations: 9 months in Eta (GRII) 4 months in Eta (R/R) # of ensemble members: 5 Sea surface temperature, surface albedo, and greenness:Updated daily Data of verifications: NCEP Regional Reanalysis NCEP Land Data Assimilation System NOAA’s Climate Prediction Center Unified Precipitation Global Telecommunications 2. Model and experiments Model resolution: 32-km in horizontal; 45 levels in vertical Model domain: 10N-90N, 164W-58W Noah Land Model 2.3, with 4 soil layers Implemented in Operational NCEP Eta Model Implemented in NCEP Regional Reanalysis Boundary conditions: NCEP/NCAR Global Reanalysis II Initial conditions: NCEP/NCAR Global Reanalysis II U.S. Air Force daily analysis of snow depth Initial land states data: NCEP/NCAR Global Reanalysis II (in experiment Eta (GRII)) NCEP Regional Reanalysis (in experiment Eta (R/R)) Starting months: December in Eta (GRII) April in Eta (R/R) Length of integrations: 9 months in Eta (GRII) 4 months in Eta (R/R) # of ensemble members: 5 Sea surface temperature, surface albedo, and greenness:Updated daily Data of verifications: NCEP Regional Reanalysis NCEP Land Data Assimilation System NOAA’s Climate Prediction Center Unified Precipitation Global Telecommunications 2. Model and experiments Model resolution: 32-km in horizontal; 45 levels in vertical Model domain: 10N-90N, 164W-58W Noah Land Model 2.3, with 4 soil layers Implemented in Operational NCEP Eta Model Implemented in NCEP Regional Reanalysis Boundary conditions: NCEP/NCAR Global Reanalysis II Initial conditions: NCEP/NCAR Global Reanalysis II U.S. Air Force daily analysis of snow depth Initial land states data: NCEP/NCAR Global Reanalysis II (in experiment Eta (GRII)) NCEP Regional Reanalysis (in experiment Eta (R/R)) Starting months: December in Eta (GRII) April in Eta (R/R) Length of integrations: 9 months in Eta (GRII) 4 months in Eta (R/R) # of ensemble members: 5 Sea surface temperature, surface albedo, and greenness:Updated daily Data of verifications: NCEP Regional Reanalysis NCEP Land Data Assimilation System NOAA’s Climate Prediction Center Unified Precipitation Global Telecommunications Period: May-August of 1988 and 1993 Starting months: April Length of integrations: 4 months Number of ensemble members: 5 SST, surface albedo, and greenness: Updated daily Data of verifications: NCEP Regional Reanalysis; NCEP Land Data Assimilation System; CPC Unified Precipitation; and Global Telecommunications Experiments Soil moisture as surface boundary forcing in sensitivity experiments: 3-hourly means Daily means Weekly means

5 Results I: Control Runs Model-observation comparison

6 Precipitation (1993-1988) Eta RR CPC

7 Surface Temperature (1993-1988) Eta RRGTS

8

9 Soil Moisture (1993-1988) LDAS data from Dr. Yun Fan

10 Results II: Sensitivity Experiments Soil moisture as surface boundary forcing: 3-hourly means Daily means Weekly means Roles of diurnal cycle & sub-synoptic variability of soil moisture

11 JJA 1988 Precip 3 Hourly 3H-Daily 3H-Weekly Ts

12 JJA 1988 T850 3 Hourly 3H-Daily 3H-Weekly

13 850-mb Winds JJA 1988 3H-Weekly 3H-Daily 3 Hourly

14 Precip of JJA 1988 Precip of JJA 1993 3 Hourly 3H-Daily 3H-Weekly

15 Ts of JJA 1988Ts of JJA 1993 3 Hourly 3H-Daily 3H-Weekly

16 T850 of JJA 1988T850 of JJA 1993 3 Hourly 3H-Daily 3H-Weekly

17 JJA 1988 JJA 1993 3 Hourly 3H-Daily 3H-Weekly

18 Explanations

19

20

21

22 Reasonable performance by Eta Impact of sub-synoptic soil moisture variability HF var. of soil moisture changes seasonal means of precip. Different roles between 1988 and 1993 Importance of diurnal cycle Dynamical consistence Explanation (water and heat fluxes, instability, etc.) Summary

23 Future Work Impact of the spatial structure of soil moisture

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