Výsledky vyhledávání - "Richard Mumo"

Akademický článek

How Do CMIP6 HighResMIP Models Perform in Simulating Precipitation Extremes over East Africa?

Autor: Hassen Babaousmail, Brian Odhiambo Ayugi, Kenny Thiam Choy Lim Kam Sian, Herijaona Hani-Roge Hundilida Randriatsara, Richard Mumo

Publikováno v: Hydrology, Vol 11, Iss 7, p 106 (2024)

This work assesses the ability of nine Coupled Model Intercomparison Project phase 6 (CMIP6) High-Resolution Model Intercomparison Project (HighResMIP) models and their ensemble mean to reproduce precipitation extremes over East Africa for the period

Externí odkaz: https://doaj.org/article/42b8c829d4594e18847ad1f91aad7ee0

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Akademický článek

On the use of intertemporal models to analyse how post-loss and post no-loss insurance demands differ

Autor: Richard Mumo, John Boscoh H. Njagaraha, Mercy K. Kiremu, Richard Watt

Publikováno v: Cogent Economics & Finance, Vol 10, Iss 1 (2022)

A general problem in insurance economics is to establish how insurance demand is affected by the size of the loss suffered in the previous period. This problem lays out the underlying objective of this study, which examines how insurance demand chang

Externí odkaz: https://doaj.org/article/0c3f69e61f4e4947a78f126bf5f412e5

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Akademický článek

Projection of Extreme Temperature Events over the Mediterranean and Sahara Using Bias-Corrected CMIP6 Models

Autor: Hassen Babaousmail, Brian Ayugi, Adharsh Rajasekar, Huanhuan Zhu, Collins Oduro, Richard Mumo, Victor Ongoma

Publikováno v: Atmosphere, Vol 13, Iss 5, p 741 (2022)

Climate change continues to increase the intensity, frequency and impacts of weather and climate extremes. This work uses bias-adjusted Coupled Model Intercomparison Project Phase six (CMIP6) model datasets to investigate the future changes in temper

Externí odkaz: https://doaj.org/article/1793090bfcdc447e8006d6c350845750

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Akademický článek

East African population exposure to precipitation extremes under 1.5 °C and 2.0 °C warming levels based on CMIP6 models

Autor: Brian Ayugi, Zhihong Jiang, Vedaste Iyakaremye, Hamida Ngoma, Hassen Babaousmail, Charles Onyutha, Victor Nnamdi Dike, Richard Mumo, Victor Ongoma

Publikováno v: Environmental Research Letters, Vol 17, Iss 4, p 044051 (2022)

Understanding population exposure to precipitation-related extreme events is important for effective climate change adaptation and mitigation measures. We analyze extreme precipitation using indices (EPIs), including consecutive dry days (CDD), annua

Externí odkaz: https://doaj.org/article/85cba85475cc4e51bc81771af76ba1f2

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