Results 121 to 130 of about 1,912,794 (271)

Improving heavy precipitation forecasts through phase‐aware nonlinear bias correction of all‐sky infrared radiances using cloud top temperature differences

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study proposes a phase‐aware bias correction framework for all‐sky infrared radiance assimilation. Cloud top temperature differences between observations and model background fields are used to identify cloud‐phase mismatch and cold‐cloud regimes.
Jiwon Hwang, Dong‐Hyun Cha, Myong‐In Lee, SangSeo Park, Yonghan Choi, Ki‐Hong Min   +5 more
wiley   +1 more source

The optimal wind speed product selection for wind energy assessment under multi-factor constraints

Cleaner Engineering and Technology
Wind energy is an important part of sustainable energy. Potential assessment of wind energy, based on an appropriate wind speed dataset, is crucial for wind energy development.
Xiaohui Li, Yunhao Chen, Kangning Li, Shengjun Gao, Ying Cui   +4 more
doaj   +1 more source

Investigating precipitation growth and decay due to orography using radar rainfall observations in Great Britain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Precipitation growth and decay due to orography was analyzed using the radar network in Great Britain. Storm direction and speed modulate the intensity of precipitation growth or decay. Windward slopes predominantly exhibit precipitation growth, while leeward areas show precipitation decay.
Chen Li, Miguel Angel Rico‐Ramirez
wiley   +1 more source

Satellite radiance observation error inflation and spatial thinning: Reconciling idealized theory with near‐operational applications

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Satellite radiance observations are spatially thinned using a grid‐based selection that retains one representative profile per cell. When observation errors are spatially correlated but treated as uncorrelated in the assimilation system, reducing thinning increases their influence, leading to overfitting and reduced analysis fit with other observations.
Joel Bedard, Alain Beaulne, Mark Buehner, Laurence Coursol   +3 more
wiley   +1 more source

Model‐resolution impacts on all‐sky infrared radiance simulation and cloud‐dependent observation errors over Indonesia

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Numerical weather prediction over Indonesia is particularly challenging, because convection evolves rapidly and is modulated strongly by land–sea interactions across the maritime continent. To constrain forecasts better, there is substantial potential in assimilating all‐sky infrared observations, provided that the associated observation‐error ...
Miranti I. Hastuti, Sarah L. Dance, Ross N. Bannister, Alison M. Fowler, Robert S. Plant   +4 more
wiley   +1 more source

Multi‐Source Data‐Driven Downscaling and Bias Correction of ERA5‐Land Near‐Surface Air Temperature Over Complex Terrain

Meteorological Applications
Near‐surface air temperature exhibits local spatial differences in complex terrain, and the native spatial resolution of ERA5‐Land near‐surface air temperature cannot directly meet application requirements. Taking Sichuan Province as the study area, this
Jiawei Huang, Xiaojuan Wu, Yongren Chen, Xiaoxiao Du, Hao Niu   +4 more
doaj   +1 more source

Characteristics of quasi‐stationary band‐shaped precipitation systems in Japan between 1989 and 2022

Quarterly Journal of the Royal Meteorological Society, EarlyView.
(a) Annual occurrence frequency of QBPSs (green bars), five‐years moving average (blue line), and regression trend (red line) for 1989–2022. (b) Distribution of the geographical occurrence frequencies of QBPSs with a 5‐km resolution for 1989–2022. Quasi‐stationary band‐shaped precipitation systems (QBPSs) are a major cause of localized heavy rainfall ...
Yasutaka Hirockawa, Teruyuki Kato, Hiroshi Niino   +2 more
wiley   +1 more source

Time Series Extrinsic Regression for Smart Agriculture: Field‐Level Crop Yield Prediction From Multisource Agricultural Time Series

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The growing availability of temporal data in agriculture has created new opportunities for data‐driven decision support systems aimed at improving the efficiency, sustainability, and adaptability of agricultural systems. Remote sensing platforms, weather‐related datasets, and field‐management records provide information on crop development and
Amalia Vanacore, Armando Ciardiello, Gennaro Pio Auricchio, Luigi Uccello, Annalisa Izzo   +4 more
wiley   +1 more source

EVAPOTRANSPIRATION ASSESSMENT USING THE PT-JPL MODEL WITH ERA5-LAND REANALYSIS DATA

Land Reclamation and Hydraulic Engineering
Purpose: to assess the feasibility of integrating radiation flow data from the ERA5-Land climate reanalysis into an energy balance model that determines the spatial distribution of evapotranspiration in the absence of satellite thermal imaging data and to validate the modified model using an irrigated soybean field in the Saratov region as an example.
Aleksei V. Dobrokhotov, Ludmila V. Kozyreva, Daria P. Mukhina   +2 more
openaire   +1 more source

Renewable Resource Curse Hypothesis: Could Renewable Resources Foster Sustainable Development?

Sustainable Development, EarlyView.
ABSTRACT This study explores whether the resource curse hypothesis applies to renewable energy by introducing a novel metric of renewable resource rent. Using a panel dataset of 46 countries (2010–2022), we define renewable rent as the product of electricity generation and the gap between industrial electricity price and levelized cost (LCOE).
Changwoo Chung, Junghwan Lee, Taeyoung Jin   +2 more
wiley   +1 more source