How do different sensors impact IMERG precipitation estimates during hurricane days?

H Ayat, JP Evans, A Behrangi - Remote Sensing of Environment, 2021 - Elsevier
Ground observation absence in many parts of the world highlights the importance of merged
satellite precipitation products. In this study, we aim to evaluate the effect of different sources …

Testing possible scenario-based responses of vegetation under expected climatic changes in Khuzestan Province

H Eskandari Damaneh, M Jafari… - Air, Soil and Water …, 2021 - journals.sagepub.com
Projections of future scenarios are scarce in developing countries where human activities
are increasing and impacting land uses. We present a research based on the assessment of …

[HTML][HTML] Gridded daily precipitation data for Iran: A comparison of different methods

A Bárdossy, E Modiri, F Anwar, G Pegram - Journal of Hydrology: Regional …, 2021 - Elsevier
Abstract Study region Iran Study focus Gridded precipitation products are of great interest for
hydrological applications. The inhomogeneous geography and uneven spatial distribution of …

[HTML][HTML] Are storm characteristics the same when viewed using merged surface radars or a merged satellite product?

H Ayat, JP Evans, S Sherwood… - Journal of …, 2021 - journals.ametsoc.org
High-resolution datasets offer the potential to improve our understanding of spatial and
temporal precipitation patterns and storm structures. The goal of this study is to evaluate the …

Calibration of the reflectivity-rainfall rate (ZR) relationship using long-term radar reflectivity factor over the entire South Korea region in a Bayesian perspective

TJ Kim, HH Kwon, KB Kim - Journal of Hydrology, 2021 - Elsevier
A fixed ZR relationship approach, such as the Marshall-Palmer relationship, for an entire
year and for different seasons can be problematic in cases where the relationship varies …

[HTML][HTML] GraphAT Net: A Deep Learning Approach Combining TrajGRU and Graph Attention for Accurate Cumulonimbus Distribution Prediction

T Zhang, SY Liew, HF Ng, D Qin, HC Lee, H Zhao… - Atmosphere, 2023 - mdpi.com
In subtropical regions, heavy rains from cumulonimbus clouds can cause disasters such as
flash floods and mudslides. The accurate prediction of cumulonimbus cloud distribution is …

Calibration of weather radar using region probability matching method (RPMM)

H Ayat, M Reza Kavianpour, S Moazami… - Theoretical and applied …, 2018 - Springer
This research aims to develop a novel method named region probability matching method
(RPMM) for calibrating the Amir-Abad weather radar located in the north of Iran. This …

[HTML][HTML] An object-based climatology of precipitation systems in Sydney, Australia

H Ayat, JP Evans, SC Sherwood, J Soderholm - Climate Dynamics, 2023 - Springer
The climate is warming and this is changing some aspects of storms, but we have relatively
little knowledge of storm characteristics beyond intensity, which limits our understanding of …

[PDF][PDF] Optimizing Rainfall Estimates from HNMS Weather Radar Data

C Karvelis, I Samos, F Gofa, I Pytharoulis - researchgate.net
Accurate representation of the temporal and spatial structure of precipitation is an essential
element of weather forecasting. The last decades the operational use of weather radar has …

Development of an integrated hydrological modeling framework in mountainous areas including rainfall and snowfall quantification derived from data integration

A Naseer - (No Title), 2018 - core.ac.uk
Summary United Nations Water concluded that water is the core of sustainable development
and its three dimensions (society, economy, and the environment). In most Asian countries …