Results 121 to 130 of about 121,900 (307)

Deciphering Freeze–Thaw Dynamics In Rockwalls: A Novel Approach for High Accuracy Regional‐Scale Modeling

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Using a large and novel array of instruments on five rockwalls in northern Gaspesia, their respective surface energy balances were calculated and their thermal regimes were measured and modeled to depths exceeding the seasonal frost penetration.
Tom Birien, Francis Gauthier
wiley   +1 more source

Capturing the Multi‐Decadal Evolution of Glacier–Permafrost Interactions in a High‐Alpine Environment (Ritord, Western Swiss Alps)

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT This study investigates the multi‐decadal evolution of a glacier forefield under permafrost conditions in the Combins Massif (western Swiss Alps). A multi‐method approach based on historical and recent datasets is used to analyze its landform components.
Julie Wee, Hanne Hendrickx, Sebastián Vivero   +2 more
wiley   +1 more source

“Cold Tropics”: Permafrost Existence and Thickness on Eastern Nevado Coropuna (Southern Peruvian Andes) Revealed by Ground‐Penetrating Radar and Geoelectrical Soundings

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT The existence of permafrost was explored at tropical latitude on Nevado Coropuna (southern Peruvian Andes) using a combination of ground‐penetrating radar (GPR) and vertical electrical sounding (VES) in order to strengthen the mutual validation of data processing and interpretation.
Velnia Chacca, Ramón Pellitero, Adriano Ribolini, José Úbeda, Luis Mariano del Río, Ricardo Vila, Oscar Vilca   +6 more
wiley   +1 more source

Mapping Soil Organic Matter in a Typical Black Soil Region Using Multi-Temporal Synthetic Images and Radar Indices Under Limited Bare Soil Windows

Remote Sensing
Remote sensing technology provides an efficient and low-cost approach for acquiring large-scale soil information, offering notable advantages for soil organic matter (SOM) mapping.
Wencai Zhang, Wenguang Chen, Zhenting Zhao, Liang Li, Ruqian Zhang, Dongheng Yao, Tingting Xie, Enyi Xie, Xiangbin Kong, Lisuo Ren   +9 more
doaj   +1 more source

Skylab S193 and the analysis of the wind field over the ocean [PDF]

, 1972
The present status of the program to provide proof of concept for the idea that simultaneously observed radar scattering cross section measurements and passive microwave measurements can be used to determine the winds in the planetary boundary layer over
Pierson, W. J., Jr.
core   +1 more source

A review of the FATIMA Yellow Sea field campaign research

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The FATIMA marine fog project took place over the Sable Island region of eastern Canada (summer 2022) and the Yellow Sea of the Republic of Korea (ROK, summer 2023). Its goals are to improve marine fog monitoring and forecasting. Instrumented multiple research vessels, aircraft, tethered balloon and autonomous systems, ocean observation sites, and ...
Seok Lee, Ismail Gultepe, H. J. S. Fernando, Saša Gaberšek, Luc Lenain, Qing Wang, Edward D. Creegan, Eric Pardyjak, Clive Dorman, Lossif Lozovatsky, David G. Ortiz‐Suslow, Jesus Ruiz‐Plancarte, Ryan Yamaguchi, Eren Gultepe, S. Hoch, A. Perelet, D. Singh, Joo Wan Cha, Lian Shen, Anup Vaman Barve, Anne Dowling, Sen Wang, Gianina Giacosa, Laurent Grare, Peter Taylor, Zheqi Chen, Rachel Y.‐W. Chang, Piyush Teeloku, Nicholas Gapp, Seung‐Woo Lee, Jong‐Min Jeong, Hojin Kim, Jin‐Yong Jeong, Ki‐Young Heo, Minsang Kim, Myung‐Sook Park, Kyung‐Hee Oh, Joon‐Seong Park, Dong‐Chull Jeon, Kyu‐Min Song, Jae‐Yeob Kim, Dawoon Jung, Kyung‐Il Chang, Jae Hak Lee, Kyung Man Kim, Daehun Yu, Seong Soo Yum, Andrew J. Heymsfield, Martin Agelin‐Chaab, Tae‐Young Goo, Dong‐Gyun Ryu   +50 more
wiley   +1 more source

On the remote sensing of oceanic and atmospheric convection in the Greenland Sea by synthetic aperture radar

, 2004
In this paper we discuss characteristic properties of radar signatures of oceanic and atmospheric convection features in the Greenland Sea. If the water surface is clean (no surface films or ice coverage), oceanic and atmospheric features can become ...
Alexei Androssov, Alpers, Androsov, Angelo Rubino, Atkinson, Broecker, Carsey, Fischer, Henning Wehde, Horstmann, Johannessen, Leonid Mitnik, Mahadevan, Marshall, MEDOC Group, Melsheimer, Mitnik, Mitnik, Monaldo, Morawetz, Roland Romeiser, Romanenkov, Romeiser, Romeiser, Sikora, Stefan Kern, Stoffelen, Susanne Ufermann, Ufermann, Ufermann, Wadhams   +30 more
core   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris, A. Ntoumos, A. Berne, A. Hering, P. Juda, M. Boscacci, L. Clementi, U. Germann   +7 more
wiley   +1 more source

Evaluating the realism of double moment parameterised particle size distributions in a midlatitude frontal ice cloud with complex microphysics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Uncertainties in the representation of ice particle size distributions (PSDs) cause inaccuracies in parameterisations of clouds. In this study, observed PSDs from a midlatitude frontal case study are compared with gamma PSDs with the same concentration and ice water content.
Rosie M. Mammatt, Christopher D. Westbrook, Jonathan Crosier, Karina McCusker   +3 more
wiley   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos, I. V. Sideris, A. Berne, A. Hering, P. Juda, M. Gabella, M. Boscacci, L. Clementi, U. Germann   +8 more
wiley   +1 more source