中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共20条，第1-10条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
Monitoring and assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real time system 期刊论文
Atmospheric Chemistry and Physics, 2022
作者:  Antje Inness, Ilse Aben, Melanie Ades, Tobias Borsdorff, Johannes Flemming, Jochen Landgraf, Bavo Langerock, Mark Parrington, and Roberto Ribas
收藏  |  浏览/下载：138/0  |  提交时间：2022/07/08
Observing the timescales of aerosol–cloud interactions in snapshot satellite images 期刊论文
Atmospheric Chemistry and Physics, 2021
作者:  Edward Gryspeerdt, Tom Goren, and Tristan W. P. Smith
收藏  |  浏览/下载：9/0  |  提交时间：2021/05/07
Evaluation of five planetary boundary layer schemes in WRF over China's largest semi-fixed desert 期刊论文
Atmospheric Research, 2021
作者:  Yu Wang, Hajigul Sayit, Ali Mamtimin, Jun Zhu, ... Xueshang Zhao
收藏  |  浏览/下载：6/0  |  提交时间：2021/03/17
Assimilation of GPM Microwave Imager Radiance data with the WRF hybrid 3DEnVar system for the prediction of Typhoon Chan-hom (2015) 期刊论文
Atmospheric Research, 2020
作者:  Feifei Shen, Dongmei Xu, Hong Li, Jinzhong Min, Ruixia Liu
收藏  |  浏览/下载：9/0  |  提交时间：2020/12/28
How does the UKESM1 climate model produce its cloud-aerosol forcing in the North Atlantic? 期刊论文
Atmospheric Chemistry and Physics, 2020
作者:  Daniel P. Grosvenor and Kenneth S. Carslaw
收藏  |  浏览/下载：8/0  |  提交时间：2020/06/29
The impact of cloudiness and cloud type on the atmospheric heating rate of black and brown carbon 期刊论文
Atmospheric Chemistry and Physics, 2020
作者:  Luca Ferrero, Asta Gregorič, Griša Močnik, Martin Rigler, Sergio Cogliati, Francesca Barnaba, Luca Di Liberto, Gian Paolo Gobbi, Niccolò Losi, and Ezio Bolzacchini
收藏  |  浏览/下载：10/0  |  提交时间：2020/05/20
Development of a cloud-screening algorithm for direct and diffuse AODs from the Skyradiometer Network 期刊论文
Atmospheric Research, 2020
作者:  Yongjoo Choi, Young Sung Ghim, Sang-Woo Kim, Huidong Yeo
收藏  |  浏览/下载：9/0  |  提交时间：2020/05/13
Attribution of Chemistry-Climate Model Initiative (CCMI) ozone radiative flux bias from satellites 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (1) : 281-301
作者:  Kuai, Le;  Bowman, Kevin W.;  Miyazaki, Kazuyuki;  Deushi, Makoto;  Revell, Laura;  Rozanov, Eugene;  Paulot, Fabien;  Strode, Sarah;  Conley, Andrew;  Lamarque, Jean-Francois;  Joeckel, Patrick;  Plummer, David A.;  Oman, Luke D.;  Worden, Helen;  Kulawik, Susan;  Paynter, David;  Stenke, Andrea;  Kunze, Markus
收藏  |  浏览/下载：13/0  |  提交时间：2020/07/02
Tests measure solar panel performance beyond established standards 新闻
来源平台：EurekAlert! - Earth Science. 发布日期：2020
作者:  admin
收藏  |  浏览/下载：13/0  |  提交时间：2020/01/16
The past and future of global river ice 期刊论文
NATURE, 2020, 577 (7788) : 69-+
作者:  Yang, Xiao;  Pavelsky, Tamlin M.;  Allen, George H.
收藏  |  浏览/下载：7/0  |  提交时间：2020/05/13

More than one-third of Earth'  s landmass is drained by rivers that seasonally freeze over. Ice transforms the hydrologic(1,2), ecologic(3,4), climatic(5) and socio-economic(6-8) functions of river corridors. Although river ice extent has been shown to be declining in many regions of the world(1), the seasonality, historical change and predicted future changes in river ice extent and duration have not yet been quantified globally. Previous studies of river ice, which suggested that declines in extent and duration could be attributed to warming temperatures(9,10), were based on data from sparse locations. Furthermore, existing projections of future ice extent are based solely on the location of the 0-degrees C isotherm11. Here, using satellite observations, we show that the global extent of river ice is declining, and we project a mean decrease in seasonal ice duration of 6.10 +/- 0.08 days per 1-degrees C increase in global mean surface air temperature. We tracked the extent of river ice using over 400,000 clear-sky Landsat images spanning 1984-2018 and observed a mean decline of 2.5 percentage points globally in the past three decades. To project future changes in river ice extent, we developed an observationally calibrated and validated model, based on temperature and season, which reduced the mean bias by 87 per cent compared with the 0-degree-Celsius isotherm approach. We applied this model to future climate projections for 2080-2100: compared with 2009-2029, the average river ice duration declines by 16.7 days under Representative Concentration Pathway (RCP) 8.5, whereas under RCP 4.5 it declines on average by 7.3 days. Our results show that, globally, river ice is measurably declining and will continue to decline linearly with projected increases in surface air temperature towards the end of this century.