Advances in Meteorology

Hydrometeorological Applications: Severe Weather Precipitation Detection, Estimation, and Forecast


Status
Published

Lead Editor

1National Severe Storm Laboratory, Norman, USA

2Enterprise Electronics Corporation, Norman, USA

3Earth System Science Interdisciplinary Center (ESSIC), College Park, USA

4Hohai University, Nanjing, China

5Chinese Academy of Sciences, Beijing, China


Hydrometeorological Applications: Severe Weather Precipitation Detection, Estimation, and Forecast

Description

Severe weather with heavy precipitation could bring unexpected hydrometeorological hazards, such as flash floods or landslides, which might become disasters that could cause significant injuries, deaths, infrastructure damage, transportation paralysis, and/or many other problems. These natural hazards occur all over the world, although their frequency and intensity are quite different from region to region. Therefore, it is critically important to accurately monitor and estimate the heavy precipitation so that the occurrence and intensity of associated hydrometeorological hazards can be well identified, detected, and forecasted. Currently, the most powerful technique to monitor/research the severe weather is through remote sensing (e.g., radar, satellite). Associated observations on the ground are necessary for calibrating remote sensing products and for providing accurate and high-resolution precipitation estimates and accurate flash flood forecasting and understanding of causation and geophysical process of these natural hazards. However, challenges remain in these research fields, and these difficulties may include the following: 1) how to improve the quality of observations by remote sensing; 2) analysis of remote sensing observations; 3) how to generate accurate radar and satellite quantitative precipitation estimation (QPE); 4) how to improve the skill of quantitative precipitation forecasts (QPF); 5) how to improve the monitoring of the hydrometeorological hazards; and 6) how to improve the skill of warning and forecasts for these hazards?

Based on the difficulties, challenges, and issues in studying extreme precipitation, we solicit high quality, original research contributions from radar meteorology, satellite meteorology, flash flood forecasting, hazards monitoring, and related fields related to research of hydrometeorological hazards.

Potential topics include but are not limited to the following:

  • Signal processing of radar (e.g., X-, C-, and S-band) and satellite (e.g., TRMM and GPM) for severe weather detection and estimation
  • Quantitative precipitation estimation (QPE) based on radar and satellite measurements
  • Data quality control (QC) for radar and satellite precipitation data
  • Short term quantitative precipitation forecasts (QPF)
  • Multiple QPE products (radar, satellite, and gauge) merging technique and application
  • Radar network product development (2D and 3D mosaic) and operational issues
  • Database, data visualization, data merging, and data assimilation
  • Identification of storm structure and evolution
  • Monitoring, warning, and forecasting of flash floods
  • Data assimilation of remote sensing and in situ observations for improved land surface modeling
  • Hydrometeorological hazard emergency warning, management, and quantitative damage evaluation

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 8365319
  • - Editorial

Hydrometeorological Applications: Severe Weather Precipitation Detection, Estimation, and Forecast

Youcun Qi | Qing Cao | ... | Zhe Li
  • Special Issue
  • - Volume 2017
  • - Article ID 1269748
  • - Research Article

Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation

Jing Ren | Yong Huang | ... | Jie Zhou
  • Special Issue
  • - Volume 2017
  • - Article ID 1475029
  • - Research Article

An Integrated Method of Multiradar Quantitative Precipitation Estimation Based on Cloud Classification and Dynamic Error Analysis

Yong Huang | Huijuan Liu | ... | Yan Feng
  • Special Issue
  • - Volume 2017
  • - Article ID 5204537
  • - Research Article

Statistical Comparison of Cloud and Aerosol Vertical Properties between Two Eastern China Regions Based on CloudSat/CALIPSO Data

Yujun Qiu | Jing Wang | Keran Yang
  • Special Issue
  • - Volume 2017
  • - Article ID 5962356
  • - Research Article

Early Detection of Baby-Rain-Cell Aloft in a Severe Storm and Risk Projection for Urban Flash Flood

Eiichi Nakakita | Hiroto Sato | ... | Kosei Yamaguchi
  • Special Issue
  • - Volume 2016
  • - Article ID 9129734
  • - Research Article

Flood Forecasting Based on TIGGE Precipitation Ensemble Forecast

Jinyin Ye | Yuehong Shao | Zhijia Li
  • Special Issue
  • - Volume 2016
  • - Article ID 7329765
  • - Research Article

Evaluation of TRMM Multisatellite Precipitation Analysis in the Yangtze River Basin with a Typical Monsoon Climate

Zengxin Zhang | Qiu Jin | ... | Yuhan Huang
  • Special Issue
  • - Volume 2016
  • - Article ID 2457489
  • - Research Article

Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification

Lili Yang | Yi Yang | ... | Lina Wang
  • Special Issue
  • - Volume 2016
  • - Article ID 6089319
  • - Research Article

Mesoscale and Local Scale Evaluations of Quantitative Precipitation Estimates by Weather Radar Products during a Heavy Rainfall Event

Basile Pauthier | Benjamin Bois | ... | Yves Richard
  • Special Issue
  • - Volume 2016
  • - Article ID 8476720
  • - Research Article

Evaluation and Correction of Quantitative Precipitation Forecast by Storm-Scale NWP Model in Jiangsu, China

Gaili Wang | Dan Wang | ... | Liping Liu
Advances in Meteorology
 Journal metrics
Acceptance rate37%
Submission to final decision118 days
Acceptance to publication49 days
CiteScore2.600
Impact Factor1.491
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