Results 151 to 160 of about 17,060 (261)

Diagnosing the 11‐year solar cycle's influence on the East Atlantic pattern

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A previously unidentified solar‐cycle response in the East Atlantic pattern is found in late winter at lag +3 years with larger amplitude than the NAO response. A statistically significant NAO response to the solar cycle is seen in late winter at lag 0 years.
Stergios Misios, Paula L. M. Gonzalez, Lesley J. Gray, Scott Osprey, Hedi Ma   +4 more
wiley   +1 more source

AHP integrated geospatial application for identifying groundwater recharge zones accounting for temporal variations through multi-criterion weighted overlay analysis. [PDF]

Sci Rep
Singh K, Sharma A, Sharma A, Gupta R, Bhowmik A, Senagah A, Al-Ansari N, Juneja G, Mattar MA.   +8 more
europepmc   +1 more source

Evaluation of GSMaP Satellite Rainfall Data on Observation Rainfall Data

Fondasi : Jurnal Teknik Sipil
Firyaal Nabila, Bambang Adhi Priyambodho, Rinda Wulandari, Ngakan Putu Purnaditya, Subekti Subekti, Restu Wigati, Bayu Krisna Wisnulingga   +6 more
openaire   +1 more source

Characterization of synoptic environment for mesoscale convective systems over South Korea using ERA5 reanalysis data

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In this study, the synoptic conditions for modes of mesoscale convective systems (MCSs) in South Korea are generalized based on composite analysis. The preferred precipitation region, synoptic patterns, moisture transport, sea surface temperature and thermodynamic and dynamic instabilities are characterized according to four modes: convective cells (CC)
Jeong‐Eun Lee, GyuWon Lee
wiley   +1 more source

Comparing novel backward hydrological models for watershed-scale precipitation estimation: an evaluation of inverted PDM and Kirchner-hybrid structures. [PDF]

Sci Rep
Dastjerdi PA, Nasseri M.
europepmc   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

Remote sensing reveals that wild herbivores limit senescent vegetation accumulation on dryland conservation reserves. [PDF]

Ecol Appl
Smith MS, Fisher AG, Finlayson G, Letnic M.   +3 more
europepmc   +1 more source

Towards improving Arctic mixed‐phase cloud representation in the ECMWF model using MOSAiC observations

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Abstract The presence of Arctic clouds plays a crucial role in the evolution of the surface temperature of Arctic sea ice. However, large biases in cloud representation remain in state‐of‐the‐art weather and climate models. In this study, we use observational data from the one‐year Arctic ship campaign Multi‐disciplinary drifting Observatory for the ...
Luise Schulte, Richard Forbes, Linus Magnusson, Vera Schemann, Jonathan Day, Susanne Crewell   +5 more
wiley   +1 more source

The benefits of a hybrid‐3DEnVar data assimilation scheme for the convection‐permitting NWP model AROME–Austria

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti, Philipp Griewank, Florian Meier, Martin Weissmann   +3 more
wiley   +1 more source

Remote sensing and process attribution uncertainties in the Dharali event. [PDF]

NPJ Nat Hazards
Bhardwaj A, Sam L, Ali SN, Ahmed R.
europepmc   +1 more source