Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
The ERA5 global reanalysis
H Hersbach, B Bell, P Berrisford… - Quarterly journal of …, 2020 - Wiley Online Library
Abstract Within the Copernicus Climate Change Service (C3S), ECMWF is producing the
ERA5 reanalysis which, once completed, will embody a detailed record of the global …
ERA5 reanalysis which, once completed, will embody a detailed record of the global …
[HTML][HTML] SEAS5: the new ECMWF seasonal forecast system
In this paper we describe SEAS5, ECMWF's fifth generation seasonal forecast system, which
became operational in November 2017. Compared to its predecessor, System 4, SEAS5 is a …
became operational in November 2017. Compared to its predecessor, System 4, SEAS5 is a …
Machine learning for model error inference and correction
M Bonavita, P Laloyaux - Journal of Advances in Modeling …, 2020 - Wiley Online Library
Abstract Model error is one of the main obstacles to improved accuracy and reliability in
numerical weather prediction (NWP) and climate prediction conducted with state‐of‐the‐art …
numerical weather prediction (NWP) and climate prediction conducted with state‐of‐the‐art …
A baseline for global weather and climate simulations at 1 km resolution
In an attempt to advance the understanding of the Earth's weather and climate by
representing deep convection explicitly, we present a global, four‐month simulation …
representing deep convection explicitly, we present a global, four‐month simulation …
[PDF][PDF] Global stratospheric temperature bias and other stratospheric aspects of ERA5 and ERA5. 1
A Simmons, C Soci, J Nicolas, B Bell, P Berrisford… - 2020 - researchgate.net
The ERA5 analyses of lower stratospheric temperature exhibit a pronounced cold bias for
the years from 2000 to 2006. This is due to specifying background error covariances for the …
the years from 2000 to 2006. This is due to specifying background error covariances for the …
How can we improve the seamless representation of climatological statistics and weather toward reliable global K‐scale climate simulations?
Toward the achievement of reliable global kilometer‐scale (k‐scale) climate simulations, we
improve the Nonhydrostatic ICosahedral Atmospheric Model (NICAM) by focusing on moist …
improve the Nonhydrostatic ICosahedral Atmospheric Model (NICAM) by focusing on moist …
Accelerating radiation computations for dynamical models with targeted machine learning and code optimization
Atmospheric radiation is the main driver of weather and climate, yet due to a complicated
absorption spectrum, the precise treatment of radiative transfer in numerical weather and …
absorption spectrum, the precise treatment of radiative transfer in numerical weather and …
The semiannual oscillation (SAO) in the tropical middle atmosphere and its gravity wave driving in reanalyses and satellite observations
Gravity waves play a significant role in driving the semiannual oscillation (SAO) of the zonal
wind in the tropics. However, detailed knowledge of this forcing is missing, and direct …
wind in the tropics. However, detailed knowledge of this forcing is missing, and direct …
Investigation of links between dynamical scenarios and particularly high impact of Aeolus on numerical weather prediction (NWP) forecasts
A Martin, M Weissmann, A Cress - Weather and Climate …, 2023 - wcd.copernicus.org
Global wind profiles from the Aeolus satellite mission provide an important source of wind
information for numerical weather prediction (NWP). Data assimilation experiments show …
information for numerical weather prediction (NWP). Data assimilation experiments show …
A momentum budget study of the semi‐annual oscillation in the Whole Atmosphere Community Climate Model
The representation of the semi‐annual oscillation (SAO) in climate models shows a common
easterly bias of several tens of metres per second compared to observations. These biases …
easterly bias of several tens of metres per second compared to observations. These biases …