Christman Field Latest Observations
Date Time
MST
Temp
°F
RH
%
DewPt
°F
Wind
mph
Dir
°
Gust
mph
Dir
°
Press
in Hg
Solar
W/m^2
Prec
in
2019-11-12 07:10 6.8 91.3 4.8 2.2 318 5.4 324 24.990 14.7 0.00
2019-11-12 07:05 5.8 88.4 3.1 3.7 324 5.5 324 24.991 12.2 0.00
2019-11-12 07:00 5.8 88.4 3.1 3.7 351 4.6 349 24.990 9.9 0.00
2019-11-12 06:55 6.8 86.0 3.5 1.3 349 3.0 324 24.990 8.5 0.00
2019-11-12 06:50 7.2 88.2 4.5 1.1 220 2.8 195 24.989 7.0 0.00
2019-11-12 06:45 9.7 84.6 6.0 1.1 194 3.6 289 24.991 5.2 0.00
2019-11-12 06:40 10.9 90.4 8.6 2.9 141 4.3 144 24.992 3.4 0.00
2019-11-12 06:35 10.1 91.6 8.1 2.8 133 4.6 137 24.995 1.9 0.00
2019-11-12 06:30 10.3 90.3 8.0 3.2 114 4.2 133 24.996 0.8 0.00
2019-11-12 06:25 11.0 89.2 8.4 2.7 144 4.2 151 24.998 0.3 0.00
2019-11-12 06:20 11.0 91.4 9.0 4.6 151 6.0 173 24.995 0.0 0.00
2019-11-12 06:15 10.5 90.1 8.2 5.3 173 6.3 173 24.992 0.0 0.00
2019-11-12 06:10 10.7 91.2 8.6 5.2 164 6.5 161 24.993 0.0 0.00
2019-11-12 06:05 10.0 90.4 7.7 3.8 158 5.9 160 24.991 0.0 0.00
2019-11-12 06:00 9.8 88.6 7.2 0.7 166 3.2 166 24.991 0.0 0.00
2019-11-12 05:55 10.1 89.3 7.6 0.3 240 1.7 333 24.992 0.0 0.00
2019-11-12 05:50 11.6 86.3 8.3 0.7 352 2.1 352 24.993 0.0 0.00
2019-11-12 05:45 13.2 88.8 10.5 0.5 352 1.5 352 24.994 0.0 0.00
2019-11-12 05:40 13.0 92.0 11.1 0.5 352 1.6 351 24.995 0.0 0.00
2019-11-12 05:35 11.9 92.8 10.2 1.1 351 2.5 352 24.995 0.0 0.00
2019-11-12 05:30 9.8 91.6 7.9 3.1 352 4.5 340 24.996 0.0 0.00
2019-11-12 05:25 8.8 89.4 6.3 3.2 340 3.8 348 24.996 0.0 0.00
2019-11-12 05:20 11.5 84.2 7.6 3.2 5 4.2 5 24.999 0.0 0.00
2019-11-12 05:15 12.1 92.6 10.3 0.3 323 2.1 322 24.999 0.0 0.00
2019-11-12 05:10 10.8 93.8 9.4 0.2 236 1.8 236 25.002 0.0 0.00
2019-11-12 05:05 10.5 93.0 8.9 0.5 290 1.1 290 25.006 0.0 0.00
2019-11-12 05:00 9.2 91.8 7.3 1.2 290 2.0 290 25.012 0.0 0.00
2019-11-12 04:55 8.9 90.4 6.6 2.2 290 4.6 296 25.015 0.0 0.00
2019-11-12 04:50 8.2 92.4 6.5 1.3 295 4.9 299 25.017 0.0 0.00
2019-11-12 04:45 6.3 89.2 3.8 0.5 168 1.7 168 25.020 0.0 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

Johnson, Lynn

Dr. Lynn Johnson

Job Title:
Senior Research Scientist/Scholar
Phone Number:

303-497-5322

Mailing Addresss:
Lynn Johnson

NOAA/ESRL/PSD

R/PSD

325 Broadway

Boulder, CO 80305-3328
    Publications

    Assessment of Information Products for a Coupled Watershed-Coastal Flood Forecast Modeling System

    Published Date: 2018
    Published By: Conference

    High Resolution Radar Quantitative Precipitation Estimation in the San Francisco Bay Area: Rainfall Monitoring for the Urban Environment

    Published Date: 2017
    Published By: Journal of the Meteorological Society of Japan

    Downscaling Advanced Microwave Scanning Radiometer (AMSR-E) SoilMoisture Retrievals Using a Multiple Time-Scale Exponential RainfallAdjustment Technique

    Published Date: 2015
    Published By: Journal of Remote Sensing & GIS

    Hydrologic response at all resolutions is controlled by physical processes. Accurately capturing the physical process at a high-resolution is essential for down scaling many satellite observations at coarse resolutions. In this paper, a four-dimensional process representative soil moisture downscaling model is developed to downscale the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) 25 km resolution soil moisture product. The model is composed of the calculation of an antecedent precipitation accumulation (APA) index to capture soil moisture spatial and temporal variations at the 500 m resolution, and the application of a Geographic Information System (GIS) to simulate physical processes which can regulate soil moisture changes throughout the watersheds. APA index, as a representation of the provisional value of soil moisture, is calculated by adopting an exponential formulation to synthesize the effects of infiltration, soil evaporative efficiency, and vegetation resistance on soil water content following precipitation. Five days of AMSR-E soil moisture derivatives spanning the start of the monsoon and the duration of the storm are selected for downscaling. The results show that soil moisture spatial variation is primarily controlled by the distribution of precipitation and soil properties. Subsequently relative soil moisture, radiation, and vegetation become significant in controlling landsurface fluxes and thus influence soil moisture variation as time progresses. The downscaled soil moisture data (500 m resolution) are assessed using in-situ soil moisture measurements from the National Oceanic and Atmospheric Administration (NOAA) Hydrometeorology Testbed (HMT) and the U.S. Department of Agriculture (USDA) Southwest Watershed Research Center (SWRC) Walnut Gulch Experimental Watershed (WGEW) observing networks. The root mean square error (RMSE) between the disaggregated and in-situ soil moisture is 0.034 vol./vol. with percent bias (PBIAS) 0.85%. The overall R2 value is 0.788.