Advances in Meteorology

Statistical Modeling of Hydroclimatological Processes


Status
Published

Lead Editor
Guest Editors

1INHA University, Incheon, Republic of Korea

2Texas A&M University, College Station, USA

3University of Hong Kong, Pokfulam, Hong Kong


Statistical Modeling of Hydroclimatological Processes

Description

Statistical modeling is one of the fundamental techniques for quantitatively characterizing hydroclimatological processes, global warming, extreme climatological events, and risk and reliability in hydroclimatology. To understand and manage the hydroclimatological processes that control our environment, it is important to advance hydroclimatological modeling, estimate the impact of climate change, and know how these processes influence human society (or disaster). Massive mathematical modeling and multisource data set can be applied to assess or model hydroclimatological processes. Based on the recently developed scientific knowledge and methods, we can improve our understanding of hydroclimatological processes.

This special issue is intended to bring together scientists and practitioners in the fields of statistical and stochastic climatology and hydrology and provide a forum for exchange of the latest developments in these fields. We invite scientists and practitioners to contribute original research articles that will contribute to our understanding of the hydroclimatological processes.

Potential topics include, but are not limited to:

  • Statistical or stochastic modeling of the impact of climate change in hydroclimatology
  • Ungauged sites and local and regional frequency analysis
  • Statistical or stochastic modeling of extremes and risk and reliability in hydroclimatology
  • Advances in data acquisition validation and homogenization
  • Advances in hydroclimatological modeling based on multisource information
  • Different ways of validation of the model results

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 9735215
  • - Editorial

Statistical Modeling of Hydroclimatological Processes

Hung Soo Kim | Vijay P. Singh | Ji Chen
  • Special Issue
  • - Volume 2016
  • - Article ID 2485251
  • - Research Article

Long-Term Simulation of Daily Streamflow Using Radar Rainfall and the SWAT Model: A Case Study of the Gamcheon Basin of the Nakdong River, Korea

Huiseong Noh | Jongso Lee | ... | Soojun Kim
  • Special Issue
  • - Volume 2016
  • - Article ID 2975380
  • - Research Article

Evaluation of Relations between Extreme Precipitation and Temperature in Observational Time Series from the Czech Republic

Marta Martinkova | Martin Hanel
  • Special Issue
  • - Volume 2016
  • - Article ID 1078617
  • - Research Article

The Implication of Climate Signal for Precipitation in the Heihe River Basin, Northwest China

Fei Wang | Jun Niu
  • Special Issue
  • - Volume 2016
  • - Article ID 7148326
  • - Research Article

Influence of Hydrological Model Selection on Simulation of Moderate and Extreme Flow Events: A Case Study of the Blue Nile Basin

Charles Onyutha
  • Special Issue
  • - Volume 2016
  • - Article ID 6130179
  • - Research Article

Quantitative Estimation of the Impact of Precipitation and Land Surface Change on Hydrological Processes through Statistical Modeling

Muhammad Saifullah | Zhijia Li | ... | Sarfraz Hashim
  • Special Issue
  • - Volume 2016
  • - Article ID 7957490
  • - Research Article

Markov Chain Decomposition of Monthly Rainfall into Daily Rainfall: Evaluation of Climate Change Impact

Chulsang Yoo | Jinwook Lee | Yonghun Ro
  • Special Issue
  • - Volume 2016
  • - Article ID 9472605
  • - Research Article

A Bayesian Network-Based Probabilistic Framework for Drought Forecasting and Outlook

Ji Yae Shin | Muhammad Ajmal | ... | Tae-Woong Kim
  • Special Issue
  • - Volume 2016
  • - Article ID 1891465
  • - Research Article

Information Analysis of Catchment Hydrologic Patterns across Temporal Scales

Baoxiang Pan | Zhentao Cong
  • Special Issue
  • - Volume 2016
  • - Article ID 6526341
  • - Research Article

Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador

L. Campozano | D. Tenelanda | ... | J. Feyen
Advances in Meteorology
 Journal metrics
Acceptance rate37%
Submission to final decision118 days
Acceptance to publication49 days
CiteScore2.600
Impact Factor1.491
 Submit