A5049130989- Climate variability and models
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Cryospheric studies and observations
- Tropical and Extratropical Cyclones Research
- Corporate Governance and Management
- Meteorological Phenomena and Simulations
- Manufacturing Process and Optimization
- Climate change impacts on agriculture
- Quality and Supply Management
- Environmental and Agricultural Sciences
- Landslides and related hazards
- Outsourcing and Supply Chain Management
- Precipitation Measurement and Analysis
- Hydrology and Sediment Transport Processes
- Service and Product Innovation
- Climate change and permafrost
- Fire effects on ecosystems
- Business Process Modeling and Analysis
- Plant Water Relations and Carbon Dynamics
- Business Strategy and Innovation
- Geological Studies and Exploration
- Climate Change and Health Impacts
- Environmental Changes in China
Deutschen Institute für Textil und Faserforschung
2009-2024
University of Tübingen
2013-2022
Catholic University of Eichstätt-Ingolstadt
2013-2021
Ellinogermaniki Agogi
2018-2021
Pontificia Universidad Católica de Chile
2021
Rice University
2021
Universidad Nacional de Colombia
2021
Universidad de Guadalajara
2021
Pontifical Catholic University of Rio de Janeiro
2021
El Colegio de México
2021
We project drought losses in China under global temperature increase of 1.5 °C and 2.0 °C, based on the Standardized Precipitation Evapotranspiration Index (SPEI) Palmer Drought Severity (PDSI), a cluster analysis method, "intensity-loss rate" function. In contrast to earlier studies, losses, we predict regional gross domestic product shared socioeconomic pathways instead using static scenario. identify increasing precipitation evapotranspiration pattern for warming above preindustrial at...
To characterize future drought events over a prone area like South Asia is paramount for risk mitigation. In this paper, five-model ensemble mean from CMIP6 was chosen to project characteristics in under the latest SSPs-RCPs emission scenarios (SSP1–2.6, SSP2–4.5, and SSP5–8.5) period 2020–2099. Additionally, corresponding RCP2.6, RCP4.5 RCP8.5 of CMIP5 were used comparison identify changes improvements Asia. Principle Component Analysis Varimax rotation method divided study into five...
Abstract The increase in surface air temperature China has been faster than the global rate, and more high spells are expected to occur future. Here we assess annual heat-related mortality densely populated cities of at 1.5 °C 2.0 warming. For this, urban population is projected under five SSPs, 31 GCM runs as well temperature-mortality relation curves applied. from 32.1 per million inhabitants annually 1986–2005 48.8–67.1 for warming 59.2–81.3 warming, taking improved adaptation capacity...
Abstract Spatial and temporal characteristics of precipitation trends in the Zhujiang River basin, South China, are analyzed. Nonparametric trend tests applied to daily data from 192 weather stations between 1961 2007 for following indices: annual, monthly, precipitation; annual monthly number rain days intensity; maximum 5-day precipitation, rainstorms with >50 mm day−1, peaks over thresholds (90th, 95th, 99th percentile). The results show that few experienced indices on an basis. On...
Satellite-based precipitation monitoring at high spatial resolution is crucial for assessing the water and energy cycles global regional scale. Based on recently released 7th version of Multi-satellite Precipitation Analysis (TMPA) product Tropical Rainfall Measuring Mission (TRMM), monthly data (3B43) are evaluated using observed from 65 meteorological stations in Jiangsu Province, China, period 1998–2014. Additionally, standardized index (SPI), which derived by a nonparametric approach,...
Abstract. In this study, hydrological long-term dry and wet periods are analyzed for the Xijiang River basin in South China. Daily precipitation data of 118 stations on daily discharge at Gaoyao station mouth period 1961–2007 used. At a 24-month timescale, standardized index (SPI-24) six sub-basins (SDI-24) applied. The monthly values SPI-24 averaged correlate highly with SDI-24. Distinct sequences can be detected. principal component analysis is applied shows spatial disparities sub-basins....
Abstract In a changing climate, understanding the frequency of weather extremes is crucial to improving management associated risks. The concept index–based insurance introduced as new approach in risk adaptation. It can decrease vulnerability precipitation that cause floods and economic losses Zhujiang River basin. probability key input distribution annual analyzed with four functions [gamma 3, generalized extreme value (GEV), Pareto, Wakeby]. Three goodness-of-fit tests...
ABSTRACT This study presents a detailed analysis of simulated and projected climate extremes in the Zhujiang River Basin (ZRB). Daily output from regional model COSMO‐CLM ( CCLM ), driven by ECHAM5 general circulation model, is used. The hindcast simulation covers period 1961 to 2000 while projection concentrates on near future 2011 2050. Spatio‐temporal statistical characteristics are investigated for three temperature precipitation indicators. six annual monthly indicators statistically...
ABSTRACT In this article, the analysis of simulated and projected climatic changes in Indus River Basin ( IRB ) is presented. The performance regional climate model COSMO‐CLM CCLM driven by global circulation MPI‐ESM‐LR evaluated on ability reproducing temperature, precipitation, wind pattern for period 1961–2005. There exist quantitative biases, especially precipitation pattern, which are associated to diverse reproduction atmospheric model. overall results show that able satisfyingly...
ABSTRACT Changes in maximum and minimum temperature ( T max min ) are analysed to assess the regional extent of global warming Xinjiang autonomous region, China, for period 1961–2015. Two nonlinear, non‐stationary signal‐processing methods – Bernaola‐Galván algorithm ensemble empirical mode decomposition method applied on daily time series observations from 53 meteorological stations. Statistically significant abrupt change points identified 1996 both annual averaged whole province, while...
In this study, the characteristics of tropical cyclones (TCs) and their economic losses in China for a 30-year period (1984–2013) are analyzed on provincial scale. The TC parameters quantitatively inherent trends cycles using Mann-Kendall test fast Fourier power spectrum. Different normalization methods applied to attribute socioeconomic factors increasing original losses. These normalized with consumer price index, conventional as well alternative method. frequency maximum from events is...