The Experts below are selected from a list of 1358823 Experts worldwide ranked by ideXlab platform
Terri Cook - One of the best experts on this subject based on the ideXlab platform.
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Updating a Crucial Source of Sea Surface Temperature Data
Eos, 2019Co-Authors: Terri CookAbstract:A new version of a major sea surface Temperature Data set reduces systematic errors in measurements of one of the most important indicators of the state of Earth’s climate system.
Joseph Holden - One of the best experts on this subject based on the ideXlab platform.
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A plea for more careful presentation of near-surface air Temperature Data in geomorphology
Earth Surface Processes and Landforms, 2007Co-Authors: Joseph HoldenAbstract:Geomorphologists often provide near-surface air Temperature Data for their study sites in publications. This is usually in the form of mean annual or monthly Temperature. Inspection of papers in Earth Surface Processes and Landforms for 2004, 2005 and 2006 has shown that the source of these Data is usually not given. Problems arise because scientists derive ‘mean Temperature’ in different ways, which do not give the same result. It is suggested that a protocol is followed when presenting near-surface air Temperature Data for journal publication as part of site descriptions or results. Copyright © 2007 John Wiley & Sons, Ltd.
H. E. Gad - One of the best experts on this subject based on the ideXlab platform.
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Development of a new Temperature Data acquisition system for solar energy applications
Renewable Energy, 2015Co-Authors: H. E. GadAbstract:The experimental work in solar energy researches generates large amounts of Data; take a lot of time, effort and high cost. Solar energy researches in many places still depend on thermocouples and the traditional methods of measuring and recording Temperature Data. The great advance in Temperature sensors and the fast development in microcontrollers encourage many researchers to design many Data acquisition systems. In this work a new sensor-based Temperature Data acquisition system for solar energy applications has been proposed, designed, constructed and tested. The main advantage of this system method is its flexibility and ease of changing the type of sensors and way of recording Data. It is especially suitable for large and remote installations where cost is a deciding factor in the choice of measuring system.
Blair Trewin - One of the best experts on this subject based on the ideXlab platform.
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A daily homogenized Temperature Data set for Australia
International Journal of Climatology, 2012Co-Authors: Blair TrewinAbstract:A new homogenized daily maximum and minimum Temperature Data set, the Australian Climate Observations Reference Network—Surface Air Temperature Data set, has been developed for Australia. This Data set contains Data from 112 locations across Australia, and extends from 1910 to the present, with 60 locations having Data for the full post-1910 period. These Data have been comprehensively analysed for inhomogeneities and Data errors ensuring a set of station Temperature Data which are suitable for the analysis of climate variability and trends. For the purposes of merging station series and correcting inhomogeneities, the Data set has been developed using a technique, the percentile-matching (PM) algorithm, which applies differing adjustments to daily Data depending on their position in the frequency distribution. This method is intended to produce Data sets that are homogeneous for higher-order statistical properties, such as variance and the frequency of extremes, as well as for mean values. The PM algorithm is evaluated and found to have clear advantages over adjustments based on monthly means, particularly in the homogenization of Temperature extremes. Copyright © 2012 Royal Meteorological Society
E. Ashley Steel - One of the best experts on this subject based on the ideXlab platform.
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A Note on the Collection and Cleaning of Water Temperature Data
Water, 2012Co-Authors: Colin Sowder, E. Ashley SteelAbstract:Inexpensive remote Temperature Data loggers have allowed for a dramatic increase of Data describing water Temperature regimes. This Data is used in understanding the ecological functioning of natural riverine systems and in quantifying changes in these systems. However, an increase in the quantity of yearly Temperature Data necessitates complex Data management, efficient summarization, and an effective Data-cleaning regimen. This note focuses on identifying events where Data loggers failed to record correct Temperatures using Data from the Sauk River in Northwest Washington State as an example. By augmenting automated checks with visual comparisons against air Temperature, related sites, multiple years, and available flow Data, dewatering events can be more accurately and efficiently identified.
