4.5 Article

Evaluation of quantitative precipitation forecast in five Indian river basins

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

Skill assessment of TIGGE precipitation forecasts in the four basins of Iran

Morteza Zarei et al.

Summary: The study evaluated the output of global numerical weather forecast models in important basins of Iran and found that the global NWP models performed best in the Karun Basin. Models like ECMWF and UKMO performed satisfactorily in water resource decision making, however, post-processing is needed for operational applications.

MODELING EARTH SYSTEMS AND ENVIRONMENT (2022)

Article Meteorology & Atmospheric Sciences

Evaluation of global ensemble prediction models for forecasting medium to heavy precipitations

Alireza Abdolmanafi et al.

Summary: This study evaluated 24-h forecasts of various meteorological models over selected stations in Iran, with ECMWF performing best after frequency bias correction and NCEP showing poor performance. None of the models accurately estimated precipitation depths over the 35-mm threshold, with all models underpredicting precipitation events at higher thresholds.

METEOROLOGY AND ATMOSPHERIC PHYSICS (2021)

Article Meteorology & Atmospheric Sciences

Assessing the skill of NCMRWF global ensemble prediction system in predicting Indian summer monsoon during 2018

Paromita Chakraborty et al.

Summary: The study investigated the quality of probabilistic precipitation and zonal wind forecasts from NEPS-G during the Indian summer monsoon period, revealing systematic and sensitivity issues. The forecasts showed a tendency for overestimation of low-level westerlies and easterly zonal wind flow, with the ensemble system slightly under-dispersive for longer forecast lead times.

ATMOSPHERIC RESEARCH (2021)

Article Engineering, Civil

Identification of sensitive parameters in daily and monthly hydrological simulations in small to large catchments in Central India

Ankit Singh et al.

Summary: Hydrological models have parameters representing various processes, and sensitivity analysis helps reduce the number of parameters needed for input-output data while increasing model reliability. Results show that catchment size and simulation time step strongly influence parameter sensitivity.

JOURNAL OF HYDROLOGY (2021)

Article Geosciences, Multidisciplinary

Can the approach of vulnerability assessment facilitate identification of suitable adaptation models for risk reduction?

Akshay Singhal et al.

Summary: This study aims to assess the vulnerability of the local agricultural sector in the Gaya district of Bihar, India, and identify suitable adaptation models using two aggregation methods. The results show that certain sub-district administrative units require systemic or transformational adaptation models based on their exposure, sensitivity, and adaptive capacity levels. Such vulnerability assessments can assist agricultural agencies in implementing efficient adaptation strategies to reduce the risks of potential disasters in local areas.

INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION (2021)

Article Engineering, Environmental

The adaptability of typical precipitation ensemble prediction systems in the Huaihe River basin, China

Han Wang et al.

Summary: Evaluations were conducted on the adaptability of precipitation forecasting in the Huaihe River basin using data from five global ensemble prediction systems. The study found variations in forecast quality among the EPSs, with different performances in terms of QPF and PQPF qualities based on precipitation thresholds and lead times. The study also showed that the multimodel superensemble had little effect on improving PQPF skill but could enhance QPF accuracy in cases where raw EPSs had significantly different QPF accuracies.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021)

Article Meteorology & Atmospheric Sciences

Performance evaluation of sub-daily ensemble precipitation forecasts

Adeleh Saedi et al.

METEOROLOGICAL APPLICATIONS (2020)

Article Meteorology & Atmospheric Sciences

Evaluation of Multimodel-Based Ensemble Forecasts for Clear-Air Turbulence

Dan-Bi Lee et al.

WEATHER AND FORECASTING (2020)

Article Meteorology & Atmospheric Sciences

Evaluation of TIGGE Daily Accumulated Precipitation Forecasts over the Qu River Basin, China

Li Liu et al.

JOURNAL OF METEOROLOGICAL RESEARCH (2019)

Article Engineering, Environmental

Probabilistic streamflow forecast based on spatial post-processing of TIGGE precipitation forecasts

Saleh Aminyavari et al.

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2019)

Article Meteorology & Atmospheric Sciences

Evaluation of TIGGE Ensemble Forecasts of Precipitation in Distinct Climate Regions in Iran

Saleh Aminyavari et al.

ADVANCES IN ATMOSPHERIC SCIENCES (2018)

Article Geosciences, Multidisciplinary

Evaluation of ensemble precipitation forecasts generated through post-processing in a Canadian catchment

Sanjeev K. Jha et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2018)

Article Meteorology & Atmospheric Sciences

The Probability Anomaly Correlation and Calibration of Probabilistic Forecasts

Huug van den Dool et al.

WEATHER AND FORECASTING (2017)

Article Meteorology & Atmospheric Sciences

Evaluation of quantitative precipitation forecasts by TIGGE ensembles for south China during the presummer rainy

Ling Huang et al.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2017)

Article Meteorology & Atmospheric Sciences

THE TIGGE PROJECT AND ITS ACHIEVEMENTS

Richard Swinbank et al.

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2016)

Article Meteorology & Atmospheric Sciences

Evaluation of ECMWF medium-range ensemble forecasts of precipitation for river basins

J. Ye et al.

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2014)

Article Meteorology & Atmospheric Sciences

A novel approach to improve numerical weather prediction skills by using anomaly integration and historical data

Xindong Peng et al.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2013)

Article Geosciences, Multidisciplinary

Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose

D. L. Shrestha et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2013)

Review Meteorology & Atmospheric Sciences

A Review of Quantitative Precipitation Forecasts and Their Use in Short- to Medium-Range Streamflow Forecasting

Lan Cuo et al.

JOURNAL OF HYDROMETEOROLOGY (2011)

Article Meteorology & Atmospheric Sciences

THE THORPEX INTERACTIVE GRAND GLOBAL ENSEMBLE

Philippe Bougeault et al.

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2010)

Article Meteorology & Atmospheric Sciences

Daily Indian Precipitation Analysis Formed from a Merge of Rain-Gauge Data with the TRMM TMPA Satellite-Derived Rainfall Estimates

A. K. Mitra et al.

JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN (2009)

Article Meteorology & Atmospheric Sciences

Tracking the uncertainty in flood alerts driven by grand ensemble weather predictions

Y. He et al.

METEOROLOGICAL APPLICATIONS (2009)

Article Agricultural Engineering

Model evaluation guidelines for systematic quantification of accuracy in watershed simulations

D. N. Moriasi et al.

TRANSACTIONS OF THE ASABE (2007)

Article Water Resources

Impact of meteorological predictions on real-time spring flow forecasting

P Coulibaly

HYDROLOGICAL PROCESSES (2003)

Article Meteorology & Atmospheric Sciences

How to judge the quality and value of weather forecast products

JE Thornes et al.

METEOROLOGICAL APPLICATIONS (2001)