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 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
CIRA

Cooperative Institute for Research in the Atmosphere

Dr. Renate Brummer

Job Title:
Senior Research Associate
Phone Number:

970-491-8446

Fax Number:

970-491-8241

Mailing Addresss:
Dr. Renate Brummer
Global Systems Division/Assimilation and Modeling Branch
325 Broadway
Boulder, CO 80305-3328
Office Location:
D. Skaggs Research Center, Room 2B122
About Me:

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).

Past Work

California fires synthetic ABI 3.9 μm w/ corresponding MODIS image.

Wednesday, March 12, 2014

California fires synthetic ABI 3.9 μm w/ corresponding MODIS image.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.

    Publications

    Future Directions for CIRA’s NWS Proving Ground activites now that GOES-16 is operational

    Published Date: 2017
    Published By: Conference

    Advancing potential new satellite products into operations: CIRA’s NWS Proving Ground plans

    Published Date: 2017
    Published By: Conference

    SLIDER: A Satellite Imagery Looper Capable of Viewing Every Pixel of GOES-16 Imagery in Real-Time over the Web

    Published Date: 2018
    Published By: Conference

    SLIDER: Satellite Loop Interactive Data Explorer in Real-time

    Published Date: 2017
    Published By: Conference

    Future directions for CIRA’s NWS Proving Ground activities now that GOES-16 is operational

    Published Date: 2017
    Published By: Conference

    Advancing potential new satellite products into operations: CIRA’s NWS Proving Ground plans

    Published Date: 2018
    Published By: Conference

    Where East Meets West: How Himawari-8 Enables True Color Capabilities for GOES-R ABI

    Published Date: 2017
    Published By: Conference

    Double-Take: Possibilities for Improved Nocturnal Environment using VIIRS Day/Night Band sensors on Suomi NPP and JPSS-1

    Published Date: 2017
    Published By: Conference

    SLIDER: A Satellite Imagery Looper Capable of Viewing Every Pixel of GOES-16 Imagery in Real-Time Over the Web

    Published Date: 2018
    Published By: Conference

    Connecting with Operational Forecasters in the GOES-16 Era via the NOAA Satellite Proving Ground Program

    Published Date: 2017
    Published By: Conference

    An Automated Mobile Phone Photo Relay and Display Concept Applicable to Operational Severe Weather Monitoring

    Published Date: 2015
    Published By: American Meteorological Society

    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.