课题基金 / 基金详情

Global Surface Air Temperature (GloSAT)

Global Surface Air Temperature (GloSAT)
全球表面气温 (GloSAT)
批准号:
NE/S015574/1
负责人:
Ed Hawkins
金额:
$86.72万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
未结题
起止时间:
2020 至 --

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项目成果

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中文摘要
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英文摘要
Surface temperature is the longest instrumental record of climate change and the measure used in the Paris Climate Agreement that aims to 'prevent dangerous anthropogenic interference with the climate system'. The Agreement defines an ambition to limit global temperature change to 1.5C or 2C above pre-industrial levels. The Intergovernmental Panel on Climate Change (IPCC) used a baseline of 1850-1900 for its definition of 'pre-industrial' as this is when existing instrumental records begin. It has been estimated that global temperatures may have already increased by 0.0-0.2C by this time, but this is uncertain due to lack of data. However, even using the 1850-1900 baseline, existing temperature datasets disagree on the amount of warming to date and this disagreement implies more than 20% uncertainty in the allowed carbon budget to meet the goals of the Paris Agreement solely due to uncertainty in observed surface temperature change. These differences between temperature datasets arise mostly from two structural uncertainties: the use of sea surface temperatures (SST) rather than air temperatures over the oceans, especially ice-covered regions, and differences in data coverage and interpolation strategies. This project addresses both.To best inform decision-makers, records of temperature change must be as accurate, consistent, and long as possible. Existing global datasets start in 1850 or later, but we will extend the record by a further 70 years back to the late 18th century. Current knowledge of this period comes from instrumental measurements in Europe, palaeo-proxies (tree-rings, corals or ice cores), and climate models. We will dramatically extend the spatial coverage of the early measured record in this 70-year period, which is important for understanding natural climate variability and the climate response to different radiative forcings. For example, the longer record includes the period of 5 large volcanic eruptions and extra cycles of multi-decadal climate oscillations. The new record will allow us to better disentangle the contributions of anthropogenic and natural factors on the climate system and quantify the effect humans have already had on Earth's temperature, and hence on future climate.A major inconsistency has been past use of air temperature over land but SST over oceans. Recent advances mean we can produce a marine air temperature record to construct the first global air temperature dataset over ocean, land and ice, stretching back to the late 18th century. Our dataset will be independent from SST, currently the most uncertain component of global temperature. We will improve land, marine and cryosphere air temperature observations to make them more homogeneous and extend the global record further back in time. This requires fundamental research to better understand the bias and noise characteristics of historical observations and develop new error models. We will adopt sophisticated statistical techniques to allow the estimation of air temperature everywhere, even when there are gaps in the observations. We will expand the historical climate record with new ship's logbook and weather station digitisations focused on early data, sparse periods and regions, and the interfaces between land, ocean and ice. We will engage the public in the digitisation effort building on recent successful citizen science initiatives.We will analyse the new surface air temperature record to better understand how temperatures have changed since the late 18th century. This longer record will give a better understanding of natural climate variations, both variability internally generated within the climate system and that due to external forcing factors such as volcanic eruptions and solar changes. This improved understanding of natural variability will enable us to more cleanly isolate the characteristic "fingerprints" of man-made climate change allowing us to more confidently detect and attribute human-induced changes
期刊论文(10)
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科研奖励(0)
会议论文
Millions of historical monthly rainfall observations taken in the UK and Ireland rescued by citizen scientists
公民科学家拯救了在英国和爱尔兰进行的数百万历史月降雨量观测
DOI: 10.1002/gdj3.157
发表时间: 2022
期刊: Geoscience Data Journal
影响因子: 3.2
作者: [Hawkins E]
通讯作者: Hawkins E
Has the risk of a 1976 north-west European summer drought and heatwave event increased since the 1970s because of climate change?
自 20 世纪 70 年代以来,由于气候变化,1976 年西北欧夏季干旱和热浪事件的风险是否有所增加?
DOI: 10.1002/qj.4172
发表时间: 2021
期刊: Quarterly Journal of the Royal Meteorological Society
影响因子: 8.9
作者: [Baker L]
通讯作者: Baker L
Reversal of Projected European Summer Precipitation Decline in a Stabilising Climate
在气候稳定的情况下,预计欧洲夏季降水量下降将出现逆转
DOI: 10.22541/essoar.170365357.71476235/v1
发表时间: 2023
期刊:
影响因子: --
作者: [Dittus A]
通讯作者: Dittus A
DOI: 10.1088/1748-9326/aca91e
发表时间: 2022-12
期刊: Environmental Research Letters
影响因子: 6.7
作者: [H. Douglas;L. Harrington;M. Joshi;E. Hawkins;L. Revell;D. Frame]
通讯作者: H. Douglas;L. Harrington;M. Joshi;E. Hawkins;L. Revell;D. Frame
10
    Attributable impacts from extreme weather events
    • 批准号:
      NE/Z000203/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $107.45万
    • 财政年份:
      2024
    • 负责人:
      Ed Hawkins
    • 依托单位:
    Robust Spatial Projections of Real-World Climate Change
    • 批准号:
      NE/N018591/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $79.78万
    • 财政年份:
      2017
    • 负责人:
      Ed Hawkins
    • 依托单位:
    PREDICTING THE CLIMATE OF THE COMING DECADE
    • 批准号:
      NE/I020792/1
    • 项目类别:
      Fellowship
    • 资助金额:
      $57.7万
    • 财政年份:
      2012
    • 负责人:
      Ed Hawkins
    • 依托单位:
    APPOSITE: Arctic Predictability and Prediction On Seasonal to Inter-annual Timescales
    • 批准号:
      NE/I029447/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $68.04万
    • 财政年份:
      2012
    • 负责人:
      Ed Hawkins
    • 依托单位:
    国内基金
    海外基金
    “surface-17”量子纠错码在超导量子电路中的实现
    • 批准号:
      12104055
    • 项目类别:
      青年科学基金项目(C类)
    • 资助金额:
      30.0万元
    • 批准年份:
      2021
    • 负责人:
      李薛刚
    • 依托单位:
    Space-surface Multi-GNSS机会信号感知植生参数建模与融合方法研究
    • 批准号:
      41974039
    • 项目类别:
      面上项目
    • 资助金额:
      63.0万元
    • 批准年份:
      2019
    • 负责人:
      郑南山
    • 依托单位:
    基于surface hopping方法探索有机半导体中激子解体机制
    • 批准号:
      LY19A040007
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2018
    • 负责人:
      孙震
    • 依托单位:
    基于强自旋轨道耦合纳米线自旋量子比特的Surface code量子计算实验研究
    • 批准号:
      11574379
    • 项目类别:
      面上项目
    • 资助金额:
      73.0万元
    • 批准年份:
      2015
    • 负责人:
      姬忠庆
    • 依托单位: