Results 21 to 30 of about 588,186 (371)

Distinct response of near surface air temperature to clouds in North China

Atmospheric Science Letters, Volume 23, Issue 12, December 2022., 2022
Cloud weakens Tmax and increases Tmin, and thus decreases daily temperature range (DTR), which is mainly due to the blocking effects of clouds to downwelling solar radiation and trapping effects to upwelling longwave radiation. However, the relative impacts of clouds on Tmax and Tmin vary with locations, with relatively stronger impact on Tmin and DTR ...
Shuyi Jiang, Chuanfeng Zhao, Yan Xia
wiley   +1 more source

Upper‐level midlatitude troughs in boreal winter have an amplified low‐latitude linkage over Africa

Atmospheric Science Letters, Volume 24, Issue 1, January 2023., 2023
Composite mean anomaly of 850‐hPa temperature at 10–15° N 2 days after the strongest midlatitude upper‐level trough days. The troughs are located at the longitude shown on the x‐axis, and the temperature is measured 16.5° longitude downstream (east) of the trough. Black dots indicate statistical significance.
Neil Ward, Andreas H. Fink, Richard J. Keane, Douglas J. Parker   +3 more
wiley   +1 more source

The CAMELS data set: catchment attributes and meteorology for large-sample studies

, 2017
. We present a new data set of attributes for 671 catchments in the contiguous United States (CONUS) minimally impacted by human activities. This complements the daily time series of meteorological forcing and streamflow provided by Newman et al. (2015b).
N. Addor, A. Newman, N. Mizukami, M. Clark   +3 more
semanticscholar   +1 more source

Progress, challenges, and future steps in data assimilation for convection‐permitting numerical weather prediction: Report on the virtual meeting held on 10 and 12 November 2021

Atmospheric Science Letters, Volume 24, Issue 1, January 2023., 2023
We report on a meeting on progress and challenges in convection‐permitting data assimilation. Novel developments include the assimilation of novel observations such as cloud‐affected satellite radiances, ground‐based profiling networks and aircraft data, as well as methodological advancements in error covariance modelling, and progress in operational ...
Guannan Hu, Sarah L. Dance, Ross N. Bannister, Hristo G. Chipilski, Oliver Guillet, Bruce Macpherson, Martin Weissmann, Nusrat Yussouf   +7 more
wiley   +1 more source

Meteorology and Climate Influences on Tropospheric Ozone: a Review of Natural Sources, Chemistry, and Transport Patterns

Current Pollution Reports, 2019
Tropospheric ozone is a key air pollutant and greenhouse gas. Its fate strongly depends on meteorological conditions and therefore subject to climate change influences.
Xiao Lu, Lin Zhang, Lu Shen
semanticscholar   +1 more source

Primary characteristics of the extreme heavy rainfall event over Henan in July 2021

Atmospheric Science Letters, Volume 24, Issue 1, January 2023., 2023
China is located in the East Asian monsoon region, which experiences relatively frequent heavy rainfall events in summer. Generally, the heavy rainfall frequency and accumulated amount in South China are higher than those of North China, whereas, the intensity of heavy rainfall in North China is similar to or even higher than that of South China.
Jianhua Sun, Shenming Fu, Huijie Wang, Yuanchun Zhang, Yun Chen, Aifang Su, Yaqiang Wang, Huan Tang, Ruoyun Ma   +8 more
wiley   +1 more source

nasapower: A NASA POWER Global Meteorology, Surface Solar Energy and Climatology Data Client for R

Journal of Open Source Software, 2018
nasapower is an R (R Core Team, 2018) package providing functionality to interface with the NASA POWER API (Stackhouse et al., 2018) for reproducible data retrieval using R. Three functions, get_power(), create_met() and create_icasa() are provided.
A. Sparks
semanticscholar   +1 more source

Interagency discrepancies in tropical cyclone intensity estimates over the western North Pacific in recent years

Atmospheric Science Letters, Volume 24, Issue 1, January 2023., 2023
Boxplots depicting interagency differences in MSW and CI between pairs of BTDs. (a) MSWJTWC–MSWCMA versus MSWJTWC; (b) CIJTWC–CICMA versus CIJTWC; (c) MSWJTWC–MSWRSMC versus MSWJTWC; (d) CIJTWC–CIRSMC versus CIJTWC; (e) MSWCMA–MSWRSMC versus MSWRSMC; and (f) CICMA–CIRSMC versus CIRSMC. Solid red lines indicate the average value for each group.
Lina Bai, Yinglong Xu, Jie Tang, Rong Guo   +3 more
wiley   +1 more source

Evaluating probabilistic forecasts with scoringRules [PDF]

, 2018
Probabilistic forecasts in the form of probability distributions over future events have become popular in several fields including meteorology, hydrology, economics, and demography.
Jordan, Alexander, Krüger, Fabian, Lerch, Sebastian   +2 more
core   +3 more sources

An evaluation of surface meteorology and fluxes over the Iceland and Greenland Seas in ERA5 reanalysis: The impact of sea ice distribution

Quarterly Journal of the Royal Meteorological Society, 2020
The Iceland and Greenland Seas are a crucial region for the climate system, being the headwaters of the lower limb of the Atlantic Meridional Overturning Circulation.
I. Renfrew, C. Barrell, A. Elvidge, J. Brooke, C. Duscha, J. King, J. Kristiansen, T. Cope, G. Moore, R. Pickart, J. Reuder, I. Sandu, D. Sergeev, A. Terpstra, K. Våge, A. Weiss   +15 more
semanticscholar   +1 more source