[HTML][HTML] Long-term trend analysis of extreme climate in Sarawak tropical peatland under the influence of climate change

Z Sa'adi, ZM Yaseen, AA Farooque… - Weather and Climate …, 2023‏ - Elsevier
Extreme climate is one of the important variables which determine the capability of tropical
peatland to act as either carbon sink and/or carbon source. The purpose of this study is to …

Trend of extreme precipitation indices and analysis of long-term climate variability in the Upper Awash basin, Ethiopia

AA Shawul, S Chakma - Theoretical and Applied Climatology, 2020‏ - Springer
Assessing the spatial and temporal variability of climate data is one of the basic
requirements to solve the hydrological and water management problems. In this manuscript …

Homogeneity and trend analysis of rainfall and droughts over Southeast Australia

G Yildirim, A Rahman - Natural Hazards, 2022‏ - Springer
This study investigates rainfall and drought characteristics in southeastern Australia (New
South Wales and Victoria) using data from 45 rainfall stations. Four homogeneity tests are …

[HTML][HTML] Absolute homogeneity assessment of precipitation time series in an arid region of Pakistan

K Ahmed, S Shahid, T Ismail, N Nawaz, XJ Wang - Atmósfera, 2018‏ - scielo.org.mx
Homogeneity evaluations are usually performed on the total annual precipitation data, which
often fails to detect non-homogeneity in seasonal precipitation. Furthermore, it is required to …

Investigation of precipitation and extreme indices spatiotemporal variability in Seyhan Basin, Turkey

C Koycegiz, M Buyukyildiz - Water Supply, 2022‏ - iwaponline.com
Spatial and temporal variability of precipitation increases with the effect of climate change. In
this study, the Seyhan Basin has been determined as the study area. It is aimed to examine …

Assessment of temporal homogeneity of long-term rainfall time-series datasets by applying classical homogeneity tests

P Kabbilawsh, DS Kumar, NR Chithra - Environment, Development and …, 2024‏ - Springer
The word" inhomogeneity" in a time-series analysis is defined as those changes that occur
in the time-series datasets due to non-climatic factors. Rainfall datasets without the presence …

Increased seasonal rainfall in the twenty-first century over Ghana and its potential implications for agriculture productivity

E Bessah, EA Boakye, SK Agodzo, E Nyadzi… - Environment …, 2021‏ - Springer
The slightest change in rainfall could have a significant impact on rain-fed agriculture in
countries like Ghana. This study evaluated for the first time the performance of the statistical …

[HTML][HTML] Evaluating Imputation Methods for rainfall data under high variability in Johor River Basin, Malaysia

Z Sa'adi, Z Yusop, NE Alias, MF Chow… - Applied Computing and …, 2023‏ - Elsevier
Missing values in rainfall records might result in erroneous predictions and inefficient
management practices with significant economic, environmental, and social consequences …

Long‐Term Homogeneity and Trends of Hydroclimatic Variables in Upper Awash River Basin, Ethiopia

MH Daba, GT Ayele, S You - Advances in Meteorology, 2020‏ - Wiley Online Library
Understanding long‐term trends in hydroclimatic variables is important for future sustainable
water resource management as it could show the possible regime shifts in hydrology. The …

Monthly surface runoff prediction using artificial intelligence: a study from a tropical climate river basin

BSN Reddy, SK Pramada, T Roshni - Journal of Earth System Science, 2021‏ - Springer
Accurate surface runoff prediction is vital for water resources engineers for various
applications. Advances in the artificial intelligence techniques can act as robust tools for …