Zobrazeno 1 - 10
of 392
pro vyhledávání: '"A. C. Povey"'
Autor:
D. J. V. Robbins, C. A. Poulsen, S. T. Siems, S. R. Proud, A. T. Prata, R. G. Grainger, A. C. Povey
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 3279-3302 (2024)
Extreme biomass burning (BB) events, such as those seen during the 2019–2020 Australian bushfire season, are becoming more frequent and intense with climate change. Ground-based observations of these events can provide useful information on the mac
Externí odkaz:
https://doaj.org/article/1b27e5d3632647cb9d40b9e6623d31e4
Autor:
E. Gryspeerdt, A. C. Povey, R. G. Grainger, O. Hasekamp, N. C. Hsu, J. P. Mulcahy, A. M. Sayer, A. Sorooshian
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 4115-4122 (2023)
Atmospheric aerosols and their impact on cloud properties remain the largest uncertainty in the human forcing of the climate system. By increasing the concentration of cloud droplets (Nd), aerosols reduce droplet size and increase the reflectivity of
Externí odkaz:
https://doaj.org/article/6afbc7d57ae14e55ac522f316c617e2d
Publikováno v:
Atmospheric Measurement Techniques, Vol 15, Pp 5985-6010 (2022)
Uncertainty-bounded satellite retrievals of volcanic ash cloud properties such as ash cloud-top height, effective radius, optical depth and mass loading are needed for the robust quantitative assessment required to warn aviation of potential hazards.
Externí odkaz:
https://doaj.org/article/0bc71dec71fa44e998eb6f09673736fb
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Sperm DNA contains a range of DNA base damage that can arise, in part, from exposure to methylating agents. However, the effects are not fully characterized and so the aim of this study was to investigate associations between semen quality a
Externí odkaz:
https://doaj.org/article/47084c785ea64d00912fb185b08cab48
Autor:
J. P. Mulcahy, C. Johnson, C. G. Jones, A. C. Povey, C. E. Scott, A. Sellar, S. T. Turnock, M. T. Woodhouse, N. L. Abraham, M. B. Andrews, N. Bellouin, J. Browse, K. S. Carslaw, M. Dalvi, G. A. Folberth, M. Glover, D. P. Grosvenor, C. Hardacre, R. Hill, B. Johnson, A. Jones, Z. Kipling, G. Mann, J. Mollard, F. M. O'Connor, J. Palmiéri, C. Reddington, S. T. Rumbold, M. Richardson, N. A. J. Schutgens, P. Stier, M. Stringer, Y. Tang, J. Walton, S. Woodward, A. Yool
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 6383-6423 (2020)
We document and evaluate the aerosol schemes as implemented in the physical and Earth system models, the Global Coupled 3.1 configuration of the Hadley Centre Global Environment Model version 3 (HadGEM3-GC3.1) and the United Kingdom Earth System Mode
Externí odkaz:
https://doaj.org/article/fdb4c0735f204b7a8ff912fac5ad05f9
Autor:
C. A. Poulsen, G. R. McGarragh, G. E. Thomas, M. Stengel, M. W. Christensen, A. C. Povey, S. R. Proud, E. Carboni, R. Hollmann, R. G. Grainger
Publikováno v:
Earth System Science Data, Vol 12, Pp 2121-2135 (2020)
We present version 3 (V3) of the Cloud_cci Along-Track Scanning Radiometer (ATSR) and Advanced ATSR (AATSR) data set. The data set was created for the European Space Agency (ESA) Cloud_cci (Climate Change Initiative) programme. The cloud properties w
Externí odkaz:
https://doaj.org/article/39fe46f79d484edb8befae6a622fe2f2
Autor:
A. M. Sayer, Y. Govaerts, P. Kolmonen, A. Lipponen, M. Luffarelli, T. Mielonen, F. Patadia, T. Popp, A. C. Povey, K. Stebel, M. L. Witek
Publikováno v:
Atmospheric Measurement Techniques, Vol 13, Pp 373-404 (2020)
Recent years have seen the increasing inclusion of per-retrieval prognostic (predictive) uncertainty estimates within satellite aerosol optical depth (AOD) data sets, providing users with quantitative tools to assist in the optimal use of these data.
Externí odkaz:
https://doaj.org/article/edc7aede989f45dbbf02f8780d7bd9ce
Autor:
O. Sus, M. Stengel, S. Stapelberg, G. McGarragh, C. Poulsen, A. C. Povey, C. Schlundt, G. Thomas, M. Christensen, S. Proud, M. Jerg, R. Grainger, R. Hollmann
Publikováno v:
Atmospheric Measurement Techniques, Vol 11, Pp 3373-3396 (2018)
We present here the key features of the Community Cloud retrieval for CLimate (CC4CL) processing algorithm. We focus on the novel features of the framework: the optimal estimation approach in general, explicit uncertainty quantification through ri
Externí odkaz:
https://doaj.org/article/70e5ab9e49624f158c8cfe582135a705
Autor:
G. R. McGarragh, C. A. Poulsen, G. E. Thomas, A. C. Povey, O. Sus, S. Stapelberg, C. Schlundt, S. Proud, M. W. Christensen, M. Stengel, R. Hollmann, R. G. Grainger
Publikováno v:
Atmospheric Measurement Techniques, Vol 11, Pp 3397-3431 (2018)
The Community Cloud retrieval for Climate (CC4CL) is a cloud property retrieval system for satellite-based multispectral imagers and is an important component of the Cloud Climate Change Initiative (Cloud_cci) project. In this paper we discuss the
Externí odkaz:
https://doaj.org/article/a60ae6393fdb4d7fac832f5ae5b44f14
Autor:
M. Stengel, S. Stapelberg, O. Sus, C. Schlundt, C. Poulsen, G. Thomas, M. Christensen, C. Carbajal Henken, R. Preusker, J. Fischer, A. Devasthale, U. Willén, K.-G. Karlsson, G. R. McGarragh, S. Proud, A. C. Povey, R. G. Grainger, J. F. Meirink, A. Feofilov, R. Bennartz, J. S. Bojanowski, R. Hollmann
Publikováno v:
Earth System Science Data, Vol 9, Pp 881-904 (2017)
New cloud property datasets based on measurements from the passive imaging satellite sensors AVHRR, MODIS, ATSR2, AATSR and MERIS are presented. Two retrieval systems were developed that include components for cloud detection and cloud typing foll
Externí odkaz:
https://doaj.org/article/81a18c81b5f3452b9a79637819b65486