SNOWFALL OBSERVATIONS DURING THE WINTER OLYMPICS OF 2018 CAMPAIGN USING THE D3R RADAR

被引:0
|
作者
Chandrasekar, V. [1 ]
Joshil, Shashank S. [1 ]
Kumar, Mohit [1 ]
Vega, Manuel A. [2 ]
Wolff, David [4 ]
Petersen, Walter [3 ]
机构
[1] Colorado State Univ, Ft Collins, CO 80523 USA
[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA
[3] NASA, Marshall Space Flight Ctr, Huntsville, AL USA
[4] NASA, Wallops Flight Facil, Wallops Isl, VA USA
关键词
D3R; Snowfall; Microphysics;
D O I
10.1109/igarss.2019.8899120
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The NASA dual-frequency, dual-polarization, Doppler radar (D3R) was deployed in the International Collaborative Experiment during the PyeongChang 2018 Olympics and Paralympic winter games (ICE-POP 2018). The radar captured many rain and interesting snowfall events during the deployment. In this work, the snowfall events are studied in detail to interpret the microphysics from a radar's perspective. Interesting snow studies such as detecting the presence of pristine oriented ice crystals in the mixed phase snow clouds will be discussed in detail.
引用
收藏
页码:4561 / 4564
页数:4
相关论文
共 50 条
  • [21] DUAL-FREQUENCY DUAL-POLARIZED DOPPLER RADAR (D3R) SYSTEM FOR GPM GROUND VALIDATION: UPDATE AND RECENT FIELD OBSERVATIONS
    Chandrasekar, V.
    Schwaller, Mathew
    Vega, Manuel
    Carswell, James
    Mishra, Kumar Vijay
    Steinberg, Alex
    Cuong Nguyen
    Le, Minda
    Hardin, Joseph
    Junyent, Francesc
    George, Jim
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 346 - 349
  • [22] METEOROLOGICAL OBSERVATIONS AND SYSTEM PERFORMANCE FROM THE NASA D3R'S FIRST 5 YEARS
    Chandrasekar, V.
    Beauchamp, Robert M.
    Vega, Manuel
    Chen, Haonan
    Kumar, Mohit
    Joshil, Shashank
    Schwaller, Mathew
    Petersen, Walter
    Wolff, David
    [J]. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 2734 - 2736
  • [23] Blinded prediction of protein–ligand binding affinity using Amber thermodynamic integration for the 2018 D3R grand challenge 4
    Junjie Zou
    Chuan Tian
    Carlos Simmerling
    [J]. Journal of Computer-Aided Molecular Design, 2019, 33 : 1021 - 1029
  • [24] Sampling and refinement protocols for template-based macrocycle docking: 2018 D3R Grand Challenge 4
    Sergei Kotelnikov
    Andrey Alekseenko
    Cong Liu
    Mikhail Ignatov
    Dzmitry Padhorny
    Emiliano Brini
    Mark Lukin
    Evangelos Coutsias
    Ken A. Dill
    Dima Kozakov
    [J]. Journal of Computer-Aided Molecular Design, 2020, 34 : 179 - 189
  • [25] Blinded prediction of protein-ligand binding affinity using Amber thermodynamic integration for the 2018 D3R grand challenge 4
    Zou, Junjie
    Tian, Chuan
    Simmerling, Carlos
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2019, 33 (12) : 1021 - 1029
  • [26] Evaluation of Triple-Frequency Radar Retrieval of Snowfall Properties Using Coincident Airborne In Situ Observations During OLYMPEX
    Chase, Randy J.
    Finlon, Joseph A.
    Borque, Paloma
    McFarquhar, Greg M.
    Nesbitt, Stephen W.
    Tanelli, Simone
    Sy, Ousmane O.
    Durden, Stephen L.
    Poellot, Michael R.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (11) : 5752 - 5760
  • [27] Protein–ligand docking using FFT based sampling: D3R case study
    Dzmitry Padhorny
    David R. Hall
    Hanieh Mirzaei
    Artem B. Mamonov
    Mohammad Moghadasi
    Andrey Alekseenko
    Dmitri Beglov
    Dima Kozakov
    [J]. Journal of Computer-Aided Molecular Design, 2018, 32 : 225 - 230
  • [28] Sampling and refinement protocols for template-based macrocycle docking: 2018 D3R Grand Challenge 4
    Kotelnikov, Sergei
    Alekseenko, Andrey
    Liu, Cong
    Ignatov, Mikhail
    Padhorny, Dzmitry
    Brini, Emiliano
    Lukin, Mark
    Coutsias, Evangelos
    Dill, Ken A.
    Kozakov, Dima
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2020, 34 (02) : 179 - 189
  • [29] Protein-ligand docking using FFT based sampling: D3R case study
    Padhorny, Dzmitry
    Hall, David R.
    Mirzaei, Hanieh
    Mamonov, Artem B.
    Moghadasi, Mohammad
    Alekseenko, Andrey
    Beglov, Dmitri
    Kozakov, Dima
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2018, 32 (01) : 225 - 230
  • [30] Affinity prediction using deep learning based on SMILES input for D3R grand challenge 4
    Sangrak Lim
    Yong Oh Lee
    Juyong Yoon
    Young Jun Kim
    [J]. Journal of Computer-Aided Molecular Design, 2022, 36 : 225 - 235