Blog
About

6
views
0
recommends
+1 Recommend
2 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Study on spacial-temporal analysis of ground surface temperature for global warming countermeasures

      Impact

      Science Impact, Ltd.

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Extreme weather events can arrive unannounced and cause immense harm for communities. Especially in cities where many people live in close proximity, events like flash flooding, windstorms or even heat waves can cause property damage, overworking of the emergency infrastructure and death. Unfortunately, because climate change continues to alter weather patterns, from subtle local variations to changes in global factors like ocean currents, these events are occurring with increased frequency. There is a great need for accurate monitoring and prediction systems that can help forecast these catastrophes. Monitoring overall changes in the patterns of these events will also help governments and citizens better adapt and plan measures to protect themselves from climate change’s inevitable impact. Professor Tomoko Matsui is an expert in the field of statistical spatial-temporal modelling. Matsui is heading up an international team of researchers at the Institute of Statistical Mathematics in Tokyo, Heriot-Watt University in UK and the National Institute for Environmental Studies in Tsukuba to find ways for using a variety of data including low-resolution surface meteorological observation, time-series measurements of ground surface temperature by high-resolution satellite and social media.

          Related collections

          Author and article information

          Journal
          Impact
          impact
          Science Impact, Ltd.
          2398-7073
          November 16 2020
          November 16 2020
          : 2020
          : 6
          : 32-34
          Article
          10.21820/23987073.2020.6.32
          © 2020

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Earth & Environmental sciences, Medicine, Computer science, Agriculture, Engineering

          Comments

          Comment on this article