IPWG-11 Best Poster Awards

IPWG-11 held a competition for the Best Posters with the aim to assign a First Prize and two Highly Commended Prizes.

Eligible posters were those with an Early Career Scientist as first author, or with an Early Career Scientist as co-author who provided a substantial and demonstrable input to the contents of the poster.

Prize

First prize:

Taisei Tsuji

Three-dimensional classification of precipitation particle types using GPM/DPR

Highly Commended Prizes:

EunYeol Kim

Evaluation of Machine Learning Based Quantitative Precipitation Estimation from Ground Radar Observations at Different Time Scales

Konduru Rakesh Teja

Improving Small-scale Tropical Precipitation Forecast by Assimilating Frequent Satellite Microwave Observations

The Early Career Scientist definition was chosen as per EGU: "An Early Career Scientists (ECS) is an undergraduate or postgraduate (Masters/PhD) student or a scientist who has received his or her highest degree (BSc, MSc, or PhD) within the past seven years (Provided parental leave fell into that period, up to one year of parental leave time may be added per child, where appropriate)."

Award Committee:

Chris Kidd

University of Maryland /NASA GSFC, USA

Ali Behrangi

University of Arizona, Tucson, AZ. USA

Tomoo Ushio

Osaka University, Osaka, Japan

Shoichi Shige

Kyoto University, Kyoto, Japan

F. Joseph Turk

JPL, California Institute of Technology, Pasadena, CA, USA