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Christman Field Latest Observations
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Date Time
MST
Temp
°F
RH
%
DewPt
°F
Wind
mph
Dir
°
Gust
mph
Dir
°
Press
in Hg
Solar
W/m^2
Prec
in
2022-12-09 00:45 20.3 67.6 11.3 0.8 230 2.2 235 24.919 0.2 0.00
2022-12-09 00:40 18.2 69.7 10.0 1.6 234 3.0 222 24.926 0.2 0.00
2022-12-09 00:35 17.0 70.9 9.2 2.2 199 4.0 188 24.928 0.2 0.00
2022-12-09 00:30 18.4 68.4 9.7 3.0 254 4.4 297 24.925 0.2 0.00
2022-12-09 00:25 21.3 64.0 11.0 2.2 294 3.1 256 24.925 0.2 0.00
2022-12-09 00:20 24.3 56.9 11.2 1.6 190 2.3 199 24.927 0.2 0.00
2022-12-09 00:15 24.1 54.6 10.1 2.2 187 4.3 174 24.930 0.2 0.00
2022-12-09 00:10 23.3 57.8 10.6 3.6 178 5.0 183 24.935 0.2 0.00
2022-12-09 00:05 23.0 62.0 11.9 3.2 189 3.9 184 24.939 0.2 0.00
2022-12-09 00:00 23.5 58.9 11.2 3.7 178 4.3 147 24.940 0.1 0.00
2022-12-08 23:55 23.3 60.3 11.5 4.5 147 5.8 130 24.939 0.2 0.00
2022-12-08 23:50 24.3 56.9 11.2 2.3 137 4.0 137 24.937 0.2 0.00
2022-12-08 23:45 24.7 55.1 10.9 2.1 160 3.0 225 24.935 0.2 0.00
2022-12-08 23:40 23.7 57.5 10.9 2.4 231 3.7 231 24.934 0.2 0.00
2022-12-08 23:35 23.4 60.8 11.9 3.3 174 4.6 220 24.933 0.2 0.00
2022-12-08 23:30 24.8 55.9 11.3 4.8 226 5.9 240 24.930 0.2 0.00
2022-12-08 23:25 23.9 60.3 12.2 4.4 240 4.9 238 24.932 0.2 0.00
2022-12-08 23:20 23.0 58.5 10.7 5.1 232 5.5 243 24.933 0.2 0.00
2022-12-08 23:15 22.5 61.8 11.4 4.8 246 5.6 252 24.933 0.2 0.00
2022-12-08 23:10 21.7 62.8 11.0 3.8 272 4.3 248 24.935 0.2 0.00
2022-12-08 23:05 23.6 55.6 10.1 3.0 234 3.5 236 24.936 0.2 0.00
2022-12-08 23:00 21.7 61.2 10.4 2.1 192 2.5 186 24.935 0.2 0.00
2022-12-08 22:55 21.3 64.1 11.0 3.6 213 4.6 224 24.933 0.2 0.00
2022-12-08 22:50 22.4 62.3 11.4 4.1 229 4.9 255 24.935 0.2 0.00
2022-12-08 22:45 21.5 62.8 10.8 3.4 256 4.3 190 24.936 0.2 0.00
2022-12-08 22:40 21.4 63.2 10.8 4.7 195 5.3 190 24.933 0.2 0.00
2022-12-08 22:35 22.9 62.0 11.8 5.6 229 6.1 260 24.932 0.2 0.00
2022-12-08 22:30 22.2 59.7 10.3 2.5 253 5.9 257 24.934 0.2 0.00
2022-12-08 22:25 20.0 66.7 10.8 1.0 175 2.8 282 24.935 0.2 0.00
2022-12-08 22:20 21.2 63.0 10.6 3.8 284 6.3 269 24.935 0.2 0.00
Date Time
MST
Temp
°C
RH
%
DewPt
°C
Wind
m/s
Dir
°
Gust
m/s
Dir
°
Press
hPa
Solar
W/m^2
Prec
mm
2022-12-09 00:45 -6.5 67.6 -11.5 0.3 230 1.0 235 843.85 0.2 0.00
2022-12-09 00:40 -7.6 69.7 -12.2 0.7 234 1.3 222 844.08 0.2 0.00
2022-12-09 00:35 -8.3 70.9 -12.7 1.0 199 1.8 188 844.16 0.2 0.00
2022-12-09 00:30 -7.5 68.4 -12.4 1.3 254 2.0 297 844.05 0.2 0.00
2022-12-09 00:25 -6.0 64.0 -11.7 1.0 294 1.4 256 844.06 0.2 0.00
2022-12-09 00:20 -4.3 56.9 -11.6 0.7 190 1.0 199 844.11 0.2 0.00
2022-12-09 00:15 -4.4 54.6 -12.2 1.0 187 1.9 174 844.23 0.2 0.00
2022-12-09 00:10 -4.8 57.8 -11.9 1.6 178 2.2 183 844.38 0.2 0.00
2022-12-09 00:05 -5.0 62.0 -11.2 1.4 189 1.8 184 844.52 0.2 0.00
2022-12-09 00:00 -4.7 58.9 -11.6 1.6 178 1.9 147 844.58 0.1 0.00
2022-12-08 23:55 -4.9 60.3 -11.4 2.0 147 2.6 130 844.53 0.2 0.00
2022-12-08 23:50 -4.3 56.9 -11.6 1.0 137 1.8 137 844.46 0.2 0.00
2022-12-08 23:45 -4.0 55.1 -11.7 1.0 160 1.3 225 844.41 0.2 0.00
2022-12-08 23:40 -4.6 57.5 -11.7 1.1 231 1.6 231 844.36 0.2 0.00
2022-12-08 23:35 -4.8 60.8 -11.2 1.5 174 2.0 220 844.34 0.2 0.00
2022-12-08 23:30 -4.0 55.9 -11.5 2.1 226 2.6 240 844.23 0.2 0.00
2022-12-08 23:25 -4.5 60.3 -11.0 2.0 240 2.2 238 844.31 0.2 0.00
2022-12-08 23:20 -5.0 58.5 -11.9 2.3 232 2.5 243 844.32 0.2 0.00
2022-12-08 23:15 -5.3 61.8 -11.5 2.1 246 2.5 252 844.31 0.2 0.00
2022-12-08 23:10 -5.7 62.8 -11.7 1.7 272 1.9 248 844.38 0.2 0.00
2022-12-08 23:05 -4.6 55.6 -12.2 1.3 234 1.6 236 844.42 0.2 0.00
2022-12-08 23:00 -5.7 61.2 -12.0 0.9 192 1.1 186 844.38 0.2 0.00
2022-12-08 22:55 -6.0 64.1 -11.7 1.6 213 2.1 224 844.31 0.2 0.00
2022-12-08 22:50 -5.4 62.3 -11.4 1.9 229 2.2 255 844.39 0.2 0.00
2022-12-08 22:45 -5.8 62.8 -11.8 1.5 256 1.9 190 844.42 0.2 0.00
2022-12-08 22:40 -5.9 63.2 -11.8 2.1 195 2.4 190 844.32 0.2 0.00
2022-12-08 22:35 -5.1 62.0 -11.2 2.5 229 2.7 260 844.29 0.2 0.00
2022-12-08 22:30 -5.5 59.7 -12.1 1.1 253 2.6 257 844.35 0.2 0.00
2022-12-08 22:25 -6.6 66.7 -11.8 0.4 175 1.3 282 844.39 0.2 0.00
2022-12-08 22:20 -6.0 63.0 -11.9 1.7 284 2.8 269 844.40 0.2 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

Improving Quantitative Precipitation Estimation in Complex Terrain over the San Francisco Bay Area Using Profiler and Gap-filling Radar Observations

September 19, 2019 9:30 am
CIRA Director’s Conference Room

Presented by: Dr. Haonan Chen

Hosted by:

Radar, Satellite, and Precipitation Research Scientist with CIRA and Physical Sciences Division of NOAA Earth System Research Laboratory


The San Francisco Bay Area is covered by two operational S-band WSR-88D: KMUX and KDAX. However, the KDAX radar beams are partially blocked at low elevation angles due to the mountainous terrain, whereas the KMUX radar is deployed at an elevation of over 1000 m, which can easily overshoot precipitation during the winter storm seasons in Northern California. As a result, these two radars are not sufficient to observe low-level atmospheric conditions and provide detailed precipitation information for quantitative hydrometeorological applications. This study aims to improve operational radar rainfall estimates using auxiliary remote sensing observations. In particular, a number of S-band profilers are deployed to investigate the vertical structure of precipitation at various locations in this complex terrain. The representative vertical profiles of reflectivity (VPR) measured by the profilers, which can better characterize the rainfall microphysical structure during its falling processes, are incorporated in WSR-88D radar data processing and the derivation of improved rainfall products. In addition, NOAA and CIRA are building an Advanced Quantitative Precipitation Information (AQPI) system to improve monitoring and forecasting of precipitation and coastal flooding in the San Francisco Bay Area. As part of the AQPI program, high-frequency (i.e., X-band) high-resolution gap-filling radars are being deployed to improve tracking of incoming storms and provide high-resolution coverage over populated and flood-prone urban areas throughout the Bay region. To date, two X-band radars have been deployed and collected a substantial set of precipitation measurements that contribute to the development of local radar rainfall algorithms. This talk will discuss the applications of vertical-pointing profilers and gap-filling scanning radars in enhancing monitoring and quantitative estimation of precipitation over the Bay Area. Results show that rainfall products derived with the aid of additional remote sensing observations have better performance compared to the operational radar products currently available in this particular domain.