From the Atlanta Workshop - Use Satellite Data for Model...
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From the Atlanta Workshop - Use Satellite Data for Model Evaluation At the Atlanta Physical Atmosphere Workshop it was concluded that the low hanging fruit was more use of satellite data for model evaluations 1. Clouds – Clouds play a major role in photolysis rates , temperature and wet chemistry. Models have difficulty getting clouds at right place and right time. Proposed that satellite clouds be used to evaluate models. Reflectance or cloud albedo is the easiest metric. 2. Land surface characterization – land use characteristics such as surface moisture or thermal inertia are ill defined at the scales models are run but have major impact on temperatures and mixing. Satellite skin temperature can be used to access how well model land use schemes are working.
Transcript of From the Atlanta Workshop - Use Satellite Data for Model...
From the Atlanta Workshop - Use Satellite Data for Model Evaluation
At the Atlanta Physical Atmosphere Workshop it was concluded that the low hanging fruit was more use of satellite data for model evaluations 1. Clouds – Clouds play a major role in photolysis rates ,
temperature and wet chemistry. Models have difficulty getting clouds at right place and right time. Proposed that satellite clouds be used to evaluate models. Reflectance or cloud albedo is the easiest metric.
2. Land surface characterization – land use characteristics such as surface moisture or thermal inertia are ill defined at the scales models are run but have major impact on temperatures and mixing. Satellite skin temperature can be used to access how well model land use schemes are working.
GOES cloud albedo WRF_cntrl cloud albedo
August 8th @20GMT
~73% agreed
Use of Satellite Data for Model Evaluation
NWS Observations on 32km Grid
GOES ~ 10 km
MODIS ~ 1 km
MODIS Skin Temperatures 1330 Local Time
( ) 014 =∆−−−−−+ −∗∗∗∗
↓effGRsssVpRLWS hTTkcqMuLucTRR ρρθρσ
Model Surface Energy Budget
TR
Satellite
Both model and satellite use a radiating temperature
model (control) vs. satellite retrieval
Satellite retrievals (K)
model (sat. assim.) vs. satellite retrieval
Satellite retrievals (K)
Skin Temperature Scatter Plot
14:00-21:00 GMT, Aug 25-30, 2000
TexAQS2000, 108km Domain
model (control) vs. satellite retrieval
Satellite retrievals (K)
model (sat. assim.) vs. satellite retrieval
Satellite retrievals (K)
Skin Temperature Scatter Plot
15:00-21:00 GMT, Aug 25-30, 2000
TexAQS2000, 36km Domain
model (control) vs. satellite retrieval
model (sat. assim.) vs. satellite retrieval
Satellite retrievals (K)
Skin Temperature Scatter Plot
15:00-21:00 GMT, Aug 28-30, 2000
TexAQS2000, 12km Domain
Satellite retrievals (K)
Satellite Observation
Assimilation – dries surface
Control - Model too cool due to moisture
Plan to revisit August 2006 Texas modeling period using MODIS for evaluation in addition to GOES.
Currently Working with California Air Resources Board to use MODIS skin temperatures for June 2008 for WRF model evaluation and January 2013 Discovery AQ Period.
In addition to satellite data model evaluation making plans to test two different surface assimilation techniques to improve surface moisture and thermal inertia 1. Pleim Xiu soil moisture. Currently uses only
National Weather Service point observations. Will test in California using MODIS data.
2. Mackaro et al. 2012,McNider et al 1994 /McNider et al. 2005 using GOES data for Texas
