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Impact of Cloud Model Microphysics on Passive Microwave Retrievals of Cloud Properties. Part I: Model Comparison Using EOF Analyses
2006
Journal of Applied Meteorology and Climatology
Hristova-Veleva (2000) noted that the parameterization of cloud ice was more dependent on NCIO in scheme B. ...
A more detailed description of the microphysical schemes and model initialization procedures can be found in Hristova-Veleva (2000) . ...
doi:10.1175/jam2372.1
fatcat:2gxdfb7lcralbpl6y72lxewdzu
Benefits of a Closely-Spaced Satellite Constellation of Atmospheric Polarimetric Radio Occultation Measurements
2019
Remote Sensing
The theoretical vertical resolution of the retrieval is limited by diffraction within the atmosphere and estimated to be ~60 m [24] . ...
The theoretical vertical resolution of the retrieval is limited by diffraction within the atmosphere and estimated to bẽ 60 m [24] . ...
doi:10.3390/rs11202399
fatcat:raio4hpvl5a7xerzos4ign3pjq
Evaluating and Extending the Ocean Wind Climate Data Record
2017
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
0.3 m/s. ...
Color scale is in units of m/s. ...
doi:10.1109/jstars.2016.2643641
pmid:28824741
pmcid:PMC5562405
fatcat:tjs5ggbcmfcwjpwbyl5crgl2ei
Remotely Sensed Winds and Wind Stresses for Marine Forecasting and Ocean Modeling
2019
Frontiers in Marine Science
Recent observational (e.g., Hristova-Veleva et al., 2016) and modeling (e.g., Hristova-Veleva et al., 2018; Saiprasanth et al., 2018) studies provide strong indications for the predictive capability ...
The footprint averaged winds reached 60 m/s in very intense TC. ...
Copyright © 2019 Bourassa, Meissner, Cerovecki, Chang, Dong, De Chiara, Donlon, Dukhovskoy, Elya, Fore, Fewings, Foster, Gille, Haus, Hristova-Veleva, Holbach, Jelenak, Knaff, Kranz, Manaster, Mazloff ...
doi:10.3389/fmars.2019.00443
fatcat:mbket5dcjvaibhd2j5ngkyvvri
An Eye on the Storm: Integrating a Wealth of Data for Quickly Advancing the Physical Understanding and Forecasting of Tropical Cyclones
2020
Bulletin of The American Meteorological Society - (BAMS)
Hristova-Veleva et al. 2018a). (Fig. 9) . ...
Hristova-Veleva et al. 2012b ) that goes beyond the comparison of "best track" metrics. ...
doi:10.1175/bams-d-19-0020.1
fatcat:lywutoq6cvgh3lxzayzmvydz74
Improved hurricane active/passive simulated wind vector retrievals
2010
2010 IEEE International Geoscience and Remote Sensing Symposium
Fig. 1 a 1 ) WRF simulation for Hurricane Katrina surface wind vectors (m/s)Fig.1 b) WRF simulation for HurricaneKatrina rain rates (mm/hr)The unique aspect of this technique is that it exploits the coincident ...
doi:10.1109/igarss.2010.5652385
dblp:conf/igarss/AlsweissLEJH10
fatcat:ulilus4i2fbp5h7d2qspvzqiw4
Changes in the functional characteristics of tumor and normal cells after treatment with extracts of white dead-nettle
2014
Biotechnology & Biotechnological Equipment
The in vitro growth occurred under aseptic controlled environmental conditions (16/8 h light/dark, 60 mmol m ¡2 s ¡1 photosynthetic photon flux density, Philips TLD-33, at 25 C, and 60%À70% relative air ...
doi:10.1080/13102818.2014.989094
pmid:26019631
pmcid:PMC4433899
fatcat:3iva3c7hpfdgtcbmpsizm724wm
Joint analysis of convective structure from the APR-2 precipitation radar and the DAWN Doppler wind lidar during the 2017 Convective Processes Experiment (CPEX)
2020
Atmospheric Measurement Techniques
During the May–June 2017 Convective Processes Experiment (CPEX), NASA DC-8-based airborne observations were collected from the JPL Ku- and Ka-band Airborne Precipitation Radar (APR-2) and the 2 µm Doppler ...
Figure 2 shows the DC-8 flight tracks on this date taken from the JPL CPEX data portal (http://cpex.jpl.nasa.gov, 19 August 2020; Hristova-Veleva et al., 2020) and superimposed upon GOES-16 geostationary ...
On the north side of the AOI, the winds were mainly southwesterly near 10 m s −1 , with 2 km level winds more southerly with weaker 5 m s −1 speeds. ...
doi:10.5194/amt-13-4521-2020
fatcat:h2fm6cj2svdzjo5yieiowcsgiy
Long-Term Comparison of Collocated Instantaneous Rain Retrievals from the TRMM Microwave Imager and Precipitation Radar over the Ocean
2015
Journal of Applied Meteorology and Climatology
., Hristova-Veleva et al. 2013) . ...
In the legend, C, S, M, and A represent convective, stratiform, mixed, and all rain types, respectively. put into the collocation procedures, there will always be mismatches between the two measurements ...
doi:10.1175/jamc-d-14-0235.1
fatcat:uu2klconcjg4vitqc27zj7444y
Regional Intensification of the Tropical Hydrological Cycle During ENSO
2018
Geophysical Research Letters
L., Hakuba, M. Z., Webb, M. J.,
Lebsock, M., Yue, Q., Kahn, B. H., et al.
(2018). Regional intensification of the
tropical hydrological cycle during ENSO. ...
pressure velocity O 500 of about 0.02 Pa/s that translates into À3 m/day. ...
doi:10.1029/2018gl077598
fatcat:kzx7yhj2xngirjedzu6x2x6yze
Impact of Microphysical Parameterizations on Simulated Hurricanes—Using Multi-Parameter Satellite Data to Determine the Particle Size Distributions that Produce Most Realistic Storms
2021
Atmosphere
For example, Hristova-Veleva, S. et al. ...
light orange, N 0r = 80 × 10 6 m −4 and N 0g = 80 × 10 6 m −4 -in dark orange, N 0r = 400 × 10 6 m −4 and N 0g = 200 × 10 6 m −4 -in purple. ...
doi:10.3390/atmos12020154
fatcat:vjck6b2xuvdirhgqjbeox23yti
Annual Modulation of Diurnal Winds in the Tropical Oceans
2022
Remote Sensing
G = G S G D G M G L G F , (4) m = m S m D m M m L m F . ( 5 ) The estimate of the model coefficients (m) for the different components is described in Section 3.2. ...
The GTMBA moorings measure winds at 4 m above the ocean surface. ...
doi:10.3390/rs14030459
fatcat:serpbxvsnnbz5nn75olrbtmbtm
Examination of the Daily Cycle Wind Vector Modes of Variability from the Constellation of Microwave Scatterometers and Radiometers
2021
Remote Sensing
For speeds less than 15 m s −1 , there is no significant bias. On average, for wind speeds > 15 m s −1 , QuikSCAT is biased slightly low relative to TMI. ...
In this case, the predominant wind blows from the east at around 5 m s −1 (middle panels), but buried within this value is the diurnal wind variability, which has a magnitude of only around 0.2 m s −1 ...
doi:10.3390/rs13010141
fatcat:ag6f5n4dqnavbomorvveddpghy
NASA's Genesis and Rapid Intensification Processes (GRIP) Field Experiment
2013
Bulletin of The American Meteorological Society - (BAMS)
We also would like to thank Bruce Anderson, Aaron Bansemer, Richard Blakeslee, Michael Goodman, Johnny Hall, Svetla Hristova-Veleva, Doug Mach, Robert Rogers, Lin Tian, and Luke Ziemba for their assistance ...
s −1 to slightly more than 60 m s −1 . markedly. ...
near or above 60 m s −1 after 0000 UTC 17 September. ...
doi:10.1175/bams-d-11-00232.1
fatcat:sqbftloya5hdfpq46j4xjo5evq
A Model for the Complete Radial Structure of the Tropical Cyclone Wind Field. Part I: Comparison with Observed Structure*
2015
Journal of the Atmospheric Sciences
Very special thanks to Bryan Stiles, Svetla Hristova-Veleva, and their team at the NASA Jet Propulsion Laboratory for their help working with their excellent QuikSCAT tropical cyclone database. ...
ER11 M m 22(C k /C d ) 5 2(r/r m ) 2 2 2 (C k /C d ) 1 (C k /C d )(r/r m ) 2 , (6) where M m 5 r m V m 1 1 2 fr 2 m (7) is the angular momentum at the radius of maximum wind 1 and C k /C d is the ratio ...
Crosses are values estimated from fit of model to median profile of M/M m as a function of r/r m within each bin for cases where V m /fr m $ 10. ...
doi:10.1175/jas-d-15-0014.1
fatcat:iq4xpklsyvd7xcyxdaietyw5ba
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