Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Katrin Lonitz"'
Autor:
Ramon Padullés, Estel Cardellach, Antía Paz, F. Joe Turk, Chi O. Ao, Kuo Nung Wang, Manuel de la Torre Juárez, Michael J. Murphy, Jennifer S. Haase, Katrin Lonitz, Daisuke Hotta
A better understanding of the thermodynamics of heavy precipitation events is necessary towards improving weather and climate models and quantifying the impact of climate variability on precipitation. However, there are limited observations available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c09faec9d7ce544c543e2aa807cc15bd
https://doi.org/10.5194/egusphere-egu23-12177
https://doi.org/10.5194/egusphere-egu23-12177
Bulk hydrometeor optical properties for microwave and sub-mm radiative transfer in RTTOV-SCATT v13.0
Autor:
Peter Bauer, James Hocking, Jana Mendrok, Katrin Lonitz, Vasileios Barlakas, Alan J. Geer, Philippe Chambon, Amy Doherty, Patrick Eriksson
Satellite observations of radiation in the microwave and sub-mm spectral regions (broadly from 1 to 1000 GHz) can have strong sensitivity to cloud and precipitation particles in the atmosphere. These particles (known as hydrometeors) scatter, absorb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24601ae15bd6724f2dcd53a7253f25d3
https://doi.org/10.5194/gmd-2021-73
https://doi.org/10.5194/gmd-2021-73
Autor:
Alan J. Geer, Katrin Lonitz
Publikováno v:
Atmospheric Measurement Techniques, Vol 12, Pp 405-429 (2019)
Permittivity models for microwave frequencies of liquid water below 0 ∘C (supercooled liquid water) are poorly constrained due to limited laboratory experiments and observations, especially for high microwave frequencies. This uncertainty transla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c67f8f39d0c7e6cdf55991c21ed7a01
https://doi.org/10.5194/amt-12-405-2019
https://doi.org/10.5194/amt-12-405-2019
Autor:
Kozo Okamoto, Min-Jeong Kim, William Bell, Emily Liu, Yanqiu Zhu, Stefano Migliorini, Alan J. Geer, Peter Weston, Christina Köpken‐Watts, Katrin Lonitz, Andrew Collard, Christoph Schraff, Philippe Chambon, Masahiro Kazumori, Nadia Fourrié
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 144:1191-1217
This article reviews developments towards assimilating cloud and precipitation-affected satellite radiances at operational forecasting centres. Satellite data assimilation is moving beyond the ‘clear-sky’ approach that discards any observations a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6fae7049c79928737ce4e1687924b35
https://doi.org/10.1002/qj.3202
https://doi.org/10.1002/qj.3202
Autor:
Stephen English, F. Baordo, Cristina Lupu, Niels Bormann, Masahiro Kazumori, Philippe Chambon, Katrin Lonitz, Alan J. Geer, Peter Lean, Heather Lawrence
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 143:3189-3206
Ten years ago, humidity observations were thought to give little benefit to global weather forecasts. Nowadays, at the European Centre for Medium-range Weather Forecasts, satellite microwave radiances sensitive to humidity, cloud and precipitation pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20d899729a2cb8584d1074f6b77e1f42
https://doi.org/10.1002/qj.3172
https://doi.org/10.1002/qj.3172
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 140:2364-2374
In the North Atlantic trades, variations in the distribution of low-level cloud are rich. Using two years of observations from a remote-sensing site located on the east coast of Barbados, the vertical distribution of cloud and its contribution to low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::039f78d97bf2363631f82d65558e3a70
https://doi.org/10.1002/qj.2307
https://doi.org/10.1002/qj.2307
Autor:
Marvin Forde, Bjorn Stevens, Louise Nuijens, Ilya Serikov, Björn Brügmann, David Farrell, Joseph M. Prospero, Holger Linné, Katrin Lonitz, Lutz Hirsch, Friedhelm Jansen
Publikováno v:
Bulletin of the American Meteorological Society
Clouds over the ocean, particularly throughout the tropics, are poorly understood and drive much of the uncertainty in model-based projections of climate change. In early 2010, the Max Planck Institute for Meteorology and the Caribbean Institute for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef6333cf6a1831962ee0a98fc6893550
https://hdl.handle.net/11858/00-001M-0000-0024-2595-B11858/00-001M-0000-002A-CAF4-111858/00-001M-0000-002A-CAF3-3
https://hdl.handle.net/11858/00-001M-0000-0024-2595-B11858/00-001M-0000-002A-CAF4-111858/00-001M-0000-002A-CAF3-3
Autor:
Katrin Lonitz, Ákos Horváth
Publikováno v:
Journal of Geophysical Research: Atmospheres. 116
[1] Stereo motion vectors (SMVs) from the Multiangle Imaging SpectroRadiometer (MISR) were evaluated against Meteosat-9 cloud-motion vectors (CMVs) over a one-year period. In general, SMVs had weaker westerlies and southerlies than CMVs at all latitu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6079f566a060345065e7b9893c833688
https://doi.org/10.1029/2011jd016047
https://doi.org/10.1029/2011jd016047