RainForest: a random forest algorithm for quantitative precipitation estimation over Switzerland

D Wolfensberger, M Gabella, M Boscacci… - Atmospheric …, 2021 - amt.copernicus.org
Quantitative precipitation estimation (QPE) is a difficult task, particularly in complex
topography, and requires the adjustment of empirical relations between radar observables …

Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model

N Sriwongsitanon, H Gao… - Hydrology and Earth …, 2016 - hess.copernicus.org
With remote sensing we can readily observe the Earth's surface, but direct observation of the
sub-surface remains a challenge. In hydrology, but also in related disciplines such as …

[HTML][HTML] Citizen rain gauges improve hourly radar rainfall bias correction using a two-step Kalman filter

PP Mapiam, M Methaprayun, T Bogaard… - Hydrology and Earth …, 2022 - hess.copernicus.org
The low density of conventional rain gauge networks is often a limiting factor for radar
rainfall bias correction. Citizen rain gauges offer a promising opportunity to collect rainfall …

[HTML][HTML] Land surface temperature changes caused by land cover/land use properties and their impact on rainfall characteristics

A Suharyanto, A Maulana, D Suprayogo… - Global Journal of …, 2023 - gjesm.net
BACKGROUND AND OBJECTIVES: This study aims to determine the relationships between
land cover presented by vegetation index and land surface temperature, between vegetation …

Subdaily rain-rate properties in western Java analyzed using C-band Doppler radar

S Lestari, A Protat, V Louf, A King… - Journal of Applied …, 2022 - journals.ametsoc.org
Jakarta, a megacity in Indonesia, experiences recurrent floods associated with heavy
rainfall. Characteristics of subdaily rainfall and the local factors influencing rainfall around …

[HTML][HTML] Using normalised difference infrared index patterns to constrain semi-distributed rainfall–runoff models in tropical nested catchments

N Sriwongsitanon, W Jandang… - Hydrology and Earth …, 2023 - hess.copernicus.org
A parsimonious semi-distributed rainfall–runoff model has been developed for flow
prediction. In distribution, attention is paid to both the timing of the runoff and the …

[HTML][HTML] Projections of future rainfall for the upper Ping River Basin using regression-based downscaling

S Saengsawang, P Pankhao, C Kaprom… - Advances in Climate …, 2017 - Elsevier
The objective of this study was to use regression modelling, a form of statistical downscaling
technique, to predict the daily rainfall occurrence and rainfall amounts for a small river basin …

Downscaling the ZR relationship and bias correction solution for flash flood assessment in a data-scarce basin, Thailand

PP Mapiam, S Sakulnurak, M Methaprayun… - Water Science & …, 2023 - iwaponline.com
Weather radar is a form of alternative indirect rainfall measurement for use in mitigating flash
flood hazards. It is a challenging task to obtain accurate radar rainfall data without …

A Kalman filter application for rainfall estimation using radar reflectivity measurements

E Maşazade, AK Bakir, P Kirci - Turkish Journal of Electrical …, 2019 - journals.tubitak.gov.tr
The rainfall amount observed at a given location mostly depend on the cloud density, which
can be quantified with the reflectivity values observed by meteorology weather radars. In this …

[PDF][PDF] Improving runoff estimates by increasing catchment subdivision complexity and resolution of rainfall data in the upper Ping river basin, Thailand

PP Mapiam, S Chautsuk - J. Nat. Sci, 2018 - cmuj.cmu.ac.th
This study investigated the effect of different sub-division schemes and two rainfall data
types–gauge and radar–on the accuracy of runoff forecasting using a semi-distributed …