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*** Part Ⅰ:A Gridded Wet Bulb Temperature Extremes Index Product for climate monitoring

Advances in Atmospheric Sciences 2023年第11期40卷 1952-1967页

作者： Kate M.WILLETT Met Office Hadley Centre FitzRoy RoadExeterEX13PBU.K.

*** is an annually updated global gridded monthly monitoring product of wet and dry bulb temperature–based extremes indices,from January 1973 to December *** quality,including spatial and temporal stability,is a key *** hourly data are quality *** is assessed on monthly means and used to score each gridbox according to its homogeneity rather than to apply *** enables user-specific screening for temporal stability and avoids errors from inferring adjustments from monthly means for the daily maximum *** general use,a score(HQ Flag)of 0 to 6 is recommended.A range of indices are presented,aligning with existing standardised ***,provision of both wet and dry bulb indices allows exploration of heat event character—whether it is a“humid and hot”,“dry and hot”or“humid and warm”*** is designed for analysis of long-term trends in regional *** can be used to study local events,but given the greater vulnerability to errors of maximum compared to mean values,cross-validation with independent information is advised.

关键词： wet bulb temperature heat extremes climate monitoring

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*** Part Ⅱ:Exploring Humid Heat Extremes Using Wet Bulb Temperature Indices

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Advances in Atmospheric Sciences 2023年第11期40卷 1968-1985页

作者： Kate M.WILLETT Met Office Hadley Centre FitzRoy RoadExeterEX13PBU.K.

Heat events may be humid or *** several indices incorporate humidity,such combined indices obscure identification and exploration of heat events by their different humidity *** new *** global gridded monitoring product uniquely provides a range of wet and dry bulb temperature extremes *** of this new data product demonstrates its value as a tool for quantifying exposure to humid verses dry heat *** also enables exploration into“stealth heat events”,where humidity is high,perhaps enough to affect productivity and health,while temperature remains *** events may not typically be identified as“heat events”by temperature-focused heat *** 1973-2022,the peak magnitude of humid extremes(maximum daily wet bulb temperature over a month;T_(w)X)for the global annual mean increased significantly at 0.13±0.04℃(10 yr)^(−1),which is slightly slower than the global annual mean T_(w) increase of 0.22±0.04℃(10 yr)^(−1).The frequency of moderate humid extreme events per year(90th per-centile daily maxima wet bulb temperature exceedance;T_(w)X90p)also increased significantly at 4.61±1.07 d yr^(−1)(10 yr)^(−1).These rates were slower than for temperature extremes,TX and TX90p,which respectively increased significantly at 0.27±0.04℃(10 yr)^(−1) and 5.53±0.72 d yr^(−1)(10 yr)^(−1).Similarly,for the UK/Europe focus region,JJA-mean T_(w)X increased significantly,again at a slower rate than for TX and mean T_(w).*** shows some evidence of“stealth heat events”occurring where humidity is high but temperature remains more moderate.

关键词： wet bulb temperature heat extremes climate monitoring

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***-an interactive climate analysis web platform

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International Journal of Digital Earth 2021年第3期14卷 338-356页

作者： Laura Zepner Pierre Karrasch Felix Wiemann Lars Bernard Chair of Geoinformatics Technische Universität DresdenDresdenGermany AED-SICAD GmbH BonnGermany

This article describes the conception and implementation of a web platform which uses special charts and maps for climate monitoring and *** first it gives an overview of related web applications and their advantages and *** is followed by a basic introduction of current technologies and methods for working with climate data,geospatial web services and visualization ***,the implementation based on prior defined requirements is presented and its strengths and limitations are *** application provides several basic charts for climate analysis,as well as a more complex one which uses a standardized visualization concept which is suitable for comparing different local climates(Walter-LiethStandard).The charts are based on different interpolated datasets with global coverage as well as data from the Global Historical climate Network(GHCN).Overall,the application enables users to generate individual historical climate charts from the beginning of the twentieth century until present day.

关键词： climate monitoring WalterLieth charts Köppen-Geiger classification user interface design education information visualization

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