120 likes | 224 Views
a. FY12-13 GIMPAP Project Proposal Title Page. Title : : Using GOES and NEXRAD Data to Improve Lake Effect Snowfall Estimates Type: GOES Utilization Status : New Duration : 2 years Project Leads: Mark Kulie ( CIMSS,Univ . of Wisconsin-Madison), mskulie@wisc.edu
E N D
a. FY12-13 GIMPAP Project Proposal Title Page Title: : Using GOES and NEXRAD Data to Improve Lake Effect Snowfall Estimates Type: GOES Utilization Status: New Duration: 2 years Project Leads: Mark Kulie (CIMSS,Univ. of Wisconsin-Madison), mskulie@wisc.edu Other Participants: Andrew Heidinger (NOAA/NESDIS/STAR/ABSP), Andi Walther (CIMSS/UW-Madison), Ralf Bennartz (CIMSS/UW-Madison)
b. Project Summary • Develop, test, and implement GOES lake effect snow (LES) snowfall estimate product • Augments NEXRAD coverage over Great Lakes • Synergistic GOES/NEXRAD data application • Utilizes CIMSS GOES-R Proving Ground • Empirical GOES/NEXRAD relationships • NWS nowcasting applications • Useful real-time product • LES advisories/warnings
c. Motivation / Justification LES impacts: • Prodigious snow amounts • Hazardous weather • Great Lakes hydrology • Locally variable • Difficult to forecast • Radar detection deficiencies Marquette, MI NWS Web Page: http://www.crh.noaa.gov/images/mqt/0809snow.jpg
c. Motivation / Justification NEXRAD 1734Z Terra MODIS 1725Z
c. Motivation / Justification NEXRAD 1638Z Terra MODIS 1635Z
d. Methodology • “Calibrate” GOES with NEXRAD (~100 km range) • Develop empirical relationships • NEXRAD snowfall rates (Z-S relationships) • Relate derived snowfall rate to GOES products • CIMSS GOES-R Proving Ground essential component
e. Expected Outcomes • Create LES GOES/NEXRAD testing dataset • MQT initial focus • Enthusiastic initial response from MQT NWS WFO • GOES LES operational snowfall rate product (Great Lakes focus)
e. Possible Path to Operations • Proof-of-concept, demonstration phase • CIMSS GOES-R Proving Ground • Outreach and feedback • NESDIS Satellite Analysis Branch • NWS offices (e.g., MKX, MQT, APX, GRR, BUF, etc.) • Operational implementation
f. Milestones YEAR 1: • Compile case studies w/ MQT NWS WFO collaboration • Identify useful GOES cloud products (e.g., cloud top height, optical thickness, cloud phase, microphysics, etc.) • Develop NEXRAD/GOES snowfall rate relationships YEAR 2: • Process larger dataset (e.g., entire snowfall season) • Outreach/feedback from NESDIS/NWS • Hone methodology based on feedback • Prepare for operational transition
g. Spending Plan FY12 • FY12 $55,000 Total Project Budget • Grant to CIMSS - $55,000 • % FTE - 40% (~$50,000) • Travel - $5,000 (Travel to NWS sites, NESDIS, conference) • Federal Travel – • Federal Publication Charges – • Federal Equipment - • Transfers to other agencies – • Other -
g. Spending Plan FY13 • FY13 $60,000 Total Project Budget • Grant to CIMSS - $60,000 • % FTE - 40% (~$50,000) • Travel - $5,000 (Travel to NWS sites, NESDIS, conference) • Publication charge - $5,000 • Federal Travel – • Federal Publication Charges – • Federal Equipment - • Transfers to other agencies – • Other -