منابع مشابه
Detection of Linkages Between Extreme Flow Measures and Climate Indices
Large scale climate signals and their teleconnections can influence hydro-meteorological variables on a local scale. Several extreme flow and timing measures, including high flow and low flow measures, from 62 hydrometric stations in Canada are investigated to detect possible linkages with several large scale climate indices. The streamflow data used in this study are derived from the Canadian ...
متن کاملEmulating extreme velocities of mobile LTE receivers in the downlink
Long-Term Evolution (LTE) is expected to substitute the Global System for Mobile (GSM) Communications as the radio access technology for railway communications. Recently, considerable attention has been devoted to high-speed trains since this particular environment poses challenging problems in terms of performance simulation and measurement. In order to considerably decrease the cost and compl...
متن کاملNOTES AND CORRESPONDENCE On the Verification and Comparison of Extreme Rainfall Indices from Climate Models
The interpretation of model precipitation output (e.g., as a gridpoint estimate versus as an areal mean) has a large impact on the evaluation and comparison of simulated daily extreme rainfall indices from climate models. It is first argued that interpretation as a gridpoint estimate (i.e., corresponding to station data) is incorrect. The impacts of this interpretation versus the areal mean int...
متن کاملThe Use of Geographically Weighted Regression for the Relationship among Extreme Climate Indices in China
The changing frequency of extreme climate events generally has profound impacts on our living environment and decision-makers. Based on the daily temperature and precipitation data collected from 753 stations in China during 1961–2005, the geographically weighted regression GWR model is used to investigate the relationship between the index of frequency of extreme precipitation FEP and other cl...
متن کاملThe survey of linkage between climate changes and desertification using extreme climate index software
Climate is the most important factor which control desertification .In order to detect climate changes in desert zones, time trend analysis is applied to extreme indices in Kashan station using extreme climate index software (ECIS). Results show significant trends in extreme indices during the past decade 1995-2004 and the pronounced warming is associated with a negative trend in cold extremes....
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ژورنال
عنوان ژورنال: Environmental Research Letters
سال: 2020
ISSN: 1748-9326
DOI: 10.1088/1748-9326/ab8332