Zobrazeno 1 - 10
of 22
pro vyhledávání: '"S. Mark Leidner"'
Publikováno v:
Monthly Weather Review. 149:3433-3447
An observing system experiment was conducted to assess the impact of wind products derived from the Cyclone Global Navigation Satellite System (CYGNSS) on tropical cyclone track, maximum 10-m wind speed Vmax, and minimum sea level pressure forecasts.
Autor:
Bachir Annane, Ross N. Hoffman, James L. Garrison, Feixiong Huang, G. Grieco, S. Mark Leidner, Ad Stoffelen
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 147:2469-2489
Autor:
James L. Garrison, Ross N. Hoffman, S. Mark Leidner, Ad Stoffelen, Feixiong Huang, G. Grieco, Bachir Annane
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:2643-2656
Delay-Doppler maps (DDMs) are generally the lowest level of calibrated observables produced from global navigation satellite system reflectometry (GNSS-R). A forward model is presented to relate the DDM, in units of absolute power at the receiver, to
Autor:
Ross N. Hoffman, S. Mark Leidner, Carl Mears, J. P. Scott, Frank J. Wentz, Robert Atlas, Lucrezia Ricciardulli
Publikováno v:
Journal of Geophysical Research: Oceans. 124:6997-7010
Autor:
James L. Garrison, G. Grieco, S. Mark Leidner, Feixiong Huang, Ad Stoffelen, Bachir Annane, Ross N. Hoffman
Publikováno v:
IGARSS
Global Navigation Satellite System Reflectometry (GNSS-R) observations from the Cyclone Global Navigation Satellite System (CYGNSS) mission are expected to improve numerical weather prediction (NWP) models. Level 1 GNSS-R observables, delay-Doppler m
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 35:1571-1584
A positive impact of adding directional information to observations from the Cyclone Global Navigation Satellite System (CYNGSS) constellation of microsatellites is observed in simulation using a high-resolution nature run of an Atlantic hurricane fo
Publikováno v:
Monthly Weather Review. 145:637-651
Global Navigation Satellite System (GNSS) radio occultations (RO) over the last 10 years have proved to be a valuable and essentially unbiased data source for operational global numerical weather prediction. However, the existing sampling coverage is
Publikováno v:
Monthly Weather Review. 143:3956-3980
The standard statistical model of data assimilation assumes that the background and observation errors are normally distributed, and the first- and second-order statistical moments of the two distributions are known or can be accurately estimated. Be
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 30:2596-2603
The Desroziers diagnostics (DD) are applied to the cross-calibrated, multiplatform (CCMP) ocean surface wind datasets to estimate wind speed errors of the ECMWF background, the microwave satellite observations, and the resulting CCMP analysis. The DD
Autor:
Deborah K. Smith, S. Mark Leidner, Joseph V. Ardizzone, Robert Atlas, Ross N. Hoffman, Daniel Gombos, J. C. Jusem
Publikováno v:
Bulletin of the American Meteorological Society. 92:157-174
The ocean surface wind mediates exchanges between the ocean and the atmosphere. These air–sea exchange processes are critical for understanding and predicting atmosphere, ocean, and wave phenomena on many time and space scales. A cross-calibrated m