DEPLOYMENT AND PERFORMANCE OF THE NASA D3R DURING GPM IFLOODS FIELD CAMPAIGN

被引：0

作者：

Chandrasekar, V. ^{[1
]}

Chen, Haonan ^{[1
]}

Beauchamp, Robert M. ^{[1
]}

Vega, Manuel ^{[1
]}

Schwaller, Mathew

Petersen, Walter

Wolff, David

Willie, Delbert ^{[1
]}

机构：

[1] Colorado State Univ, Ft Collins, CO 80523 USA

来源：

2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年

关键词：

Radar; D3R; GPM; ground validation; IFloodS; rainfall; multi-frequency;

D O I：

10.1109/IGARSS.2014.6947611

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The Iowa Flood Studies (IFloodS) field experiment was conducted to better understand the strengths and limitations of Global Precipitation Measurement (GPM) mission satellite products in the context of hydrologic applications. The NASA dual-frequency dual-polarization Doppler radar (D3R), designed as part of the GPM ground validation program, participated in the IFloodS field campaign to characterize precipitation properties at Ku- and Ka-band frequencies. This paper presents the deployment of the D3R and summarizes the D3R observations during the IFloodS field campaign. The quality of the D3R measurements is evaluated by comparing with the NASA NPOL S-band radar observations. In addition, the capability for rainfall estimation using the D3R is also described and validated using ground gauge measurements.

引用

页码：4970 / 4973

页数：4

共 50 条

[31] Highly Selective Dopamine D3 Receptor (D3R) Antagonists and Partial Agonists Based on Eticlopride and the D3R Crystal Structure: New Leads for Opioid Dependence Treatment
Kumar, Vivek
Bonifazi, Alessandro
Ellenberger, Michael P.
Keck, Thomas M.
Pommier, Elie
Rais, Rana
Slusher, Barbara S.
Gardner, Eliot
You, Zhi-Bing
Xi, Zheng-Xiong
Newman, Amy Hauck
[J]. JOURNAL OF MEDICINAL CHEMISTRY, 2016, 59 (16) : 7634 - 7650
[32] Selectivity and activation of dopamine D3R from molecular dynamics
Feng, Zhiwei
Hou, Tingjun
Li, Youyong
[J]. JOURNAL OF MOLECULAR MODELING, 2012, 18 (12) : 5051 - 5063
[33] 多巴胺D3R蛋白同源模建及其应用
马丽英
徐四川
[J]. 四川轻化工大学学报(自然科学版), 2012, 25 (01) : 22 - 26
[34] MathDL: mathematical deep learning for D3R Grand Challenge 4
Duc Duy Nguyen
Gao, Kaifu
Wang, Menglun
Wei, Guo-Wei
[J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2020, 34 (02) : 131 - 147
[35] Dopamine Receptor D1R and D3R and GRK4 Interaction in Hypertension
Zeng, Chunyu
Armando, Ines
Yang, Jian
Jose, Pedro A.
[J]. YALE JOURNAL OF BIOLOGY AND MEDICINE, 2023, 96 (01): : 95 - 105
[36] Performance of multiple docking and refinement methods in the pose prediction D3R prospective Grand Challenge 2016
Fradera, Xavier
Verras, Andreas
Hu, Yuan
Wang, Deping
Wang, Hongwu
Fells, James I.
Armacost, Kira A.
Crespo, Alejandro
Sherborne, Brad
Wang, Huijun
Peng, Zhengwei
Gao, Ying-Duo
[J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2018, 32 (01) : 113 - 127
[37] Performance of multiple docking and refinement methods in the pose prediction D3R prospective Grand Challenge 2016
Xavier Fradera
Andreas Verras
Yuan Hu
Deping Wang
Hongwu Wang
James I. Fells
Kira A. Armacost
Alejandro Crespo
Brad Sherborne
Huijun Wang
Zhengwei Peng
Ying-Duo Gao
[J]. Journal of Computer-Aided Molecular Design, 2018, 32 : 113 - 127
[38] Molecular Determinants of SB268652 Mediated Allosterism in D2R and D3R
Verma, Ravi K.
Shi, Lei
[J]. BIOPHYSICAL JOURNAL, 2017, 112 (03) : 530A - 530A
[39] Benchmarking ensemble docking methods in D3R Grand Challenge 4
Gan, Jessie Low
Kumar, Dhruv
Chen, Cynthia
Taylor, Bryn C.
Jagger, Benjamin R.
Amaro, Rommie E.
Lee, Christopher T.
[J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2022, 36 (02) : 87 - 99
[40] MathDL: mathematical deep learning for D3R Grand Challenge 4
Duc Duy Nguyen
Kaifu Gao
Menglun Wang
Guo-Wei Wei
[J]. Journal of Computer-Aided Molecular Design, 2020, 34 : 131 - 147

← 1 2 3 4 5 →