| 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 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 |
| 2019-11-12 04:40 | 7.5 | 87.4 | 4.5 | 1.1 | 168 | 2.0 | 168 | 25.021 | 0.0 | 0.00 |
| 2019-11-12 04:35 | 8.1 | 88.4 | 5.3 | 1.9 | 105 | 3.5 | 25 | 25.023 | 0.0 | 0.00 |
| 2019-11-12 04:30 | 9.4 | 87.4 | 6.4 | 1.2 | 25 | 3.0 | 25 | 25.024 | 0.0 | 0.00 |
| 2019-11-12 04:25 | 10.2 | 91.8 | 8.3 | 0.7 | 171 | 1.6 | 171 | 25.021 | 0.0 | 0.00 |
| 2019-11-12 04:20 | 9.2 | 90.9 | 7.1 | 0.5 | 171 | 1.6 | 171 | 25.023 | 0.0 | 0.00 |
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Renate Brummer received the equivalent of a MS in Mathematics and Physics from the Universität München, Munich, Germany in 1981 and a PhD in Meteorology and Physical Oceanography from the University of Miami, Florida in 1986. Her areas of interest include mesoscale forecast modeling, satellite meteorology, and environmental education/outreach. She has been a CIRA employee since 1995 and has been working as project manager for different CIRA projects. During those years she managed the systems development team for the international school program GLOBE. The GLOBE Program is a worldwide community of students, teachers, scientists, and citizens working together to better understand, sustain, and improve Earth’s environment at local, regional, and global scales. She also managed the so-called FX-Net project, a meteorological forecaster workstation which provides the user interface and functionality of the AWIPS workstation (used by NWS forecasters) via the internet. During the last two years, Renate worked as a project coordinator for CIRA’s Regional and Mesoscale Meteorology Branch (RAMMB).
The figure depicts a synthetic ABI 3.9 μm image (right) and the corresponding MODIS image (left) for the California fires on 23 October 2007. The MODIS image is a true color image from Aqua, pixel size: 1km, date: 2007/10/23. The Synthetic ABI 3.9 μm image for 2007/10/23 15:30 UTC is a CIRA/RAMM Branch product and is part of the GOES-R AWG proxy datasets which we produce in support of GOES-R ABI algorithm development. The fire proxy data sets are produced by running the RAMS forecast model (400 m spatial resolution, 5 min data over a 6 hour period) and by applying a radiative transfer model. The fire locations come from a CIMSS dataset (ABBA retrieval based on a GOES-12 image). An ABI-like satellite image is then created by applying an ABI wavelength-specific point spread function considering the actual ABI footprint for the area of Southern California.
The increasing use of mobile phones (MPs) equipped with digital cameras and the ability to post images and information to the Internet in real time has significantly improved the ability to report events almost instantaneously. From the perspective of weather forecasters responsible for issuing severe weather warnings, the old adage holds that a picture is indeed worth a thousand words; a single digital image conveys significantly more information than a simple web-submitted text or phone-relayed report. Timely, quality-controlled, and value-added photography allows the forecaster to ascertain the validity and quality of storm reports. The posting of geolocated, time-stamped storm report photographs utilizing an MP application to U.S. National Weather Service (NWS) Weather Forecast Office (WFO) social media pages has generated recent positive feedback from forecasters. This study establishes the conceptual framework, architectural design, and pathway toward implementation of a formalized photo report (PR) system composed of 1) an MP application, 2) a processing and distribution system, and 3) the Advanced Weather Interactive Processing System II (AWIPS II) data plug-in software. The requirements and anticipated appearance of such a PR system are presented, along with considerations for possible additional features and applications that extend the utility of the system beyond the realm of severe weather applications.
