OLYMPEX Airborne Data Analysis for Snowfall Rate-Reflectivity Relationships
Utilizing Citation aircraft data from OLYMPEX, this study focuses on developing relationships between snowfall (rainfall) rate and radar reflectivity across various radar bands. Comparisons are made between in-situ aircraft data and retrieval products from CloudSat, GPM, and TRMM datasets. Results i
0 views • 12 slides
Deconvolving Snow Cover and Snowfall Passive Microwave Signals
This research focuses on deconvolving snow cover and snowfall passive microwave signals using GPM data. The study employs a data-driven approach to estimate snowfall using a nested K-nearest algorithm and observed irregularities. By analyzing variations in brightness temperatures (Tbs) over snow-cov
0 views • 9 slides
Estimation of Precipitation over the OLYMPEX Domain during Winter 2015-2016
The study aims to evaluate precipitation products over the OLYMPEX domain during the winter of 2015-2016 by utilizing various data sources such as NOAA, NASA, and in-situ observations. The primary goal is to enhance the assessment of Global Precipitation Mission (GPM) products, focusing on regions w
1 views • 22 slides
OLYMPEX Ground Validation Program on the Olympic Peninsula
Conducted by experts from University of Washington, NASA, and National Park Service, the OLYMPEX program aims to validate satellite precipitation algorithms in the Pacific NW terrain. This includes testing in an environment with abundant rain, snow, and complex terrain transitioning from ocean to la
0 views • 20 slides
Improving GMI Lake Effect Snow Retrievals
GPM Microwave Imager provides enhancements to the GPROF operational algorithm for accurate lake-effect snow quantitative precipitation estimates. The study evaluates observational analysis, precipitation retrieval improvements, and the significance of accurate snowfall quantification for emergency m
0 views • 6 slides
Mitigation Methodology for Ground Clutter in GPM Combined Algorithm
Explore the methodology devised by Mircea Grecu and David T. Bolvin to mitigate ground clutter in the GPM combined algorithm. The approach involves using near-nadir DPR reflectivity profiles, deriving an empirical prediction procedure, and considering operational considerations. Discover the results
0 views • 9 slides