Characterization of Chihuahuan desert vegetation phenology using high temporal resolution satellite imagery

1998 ◽  
Vol 13 (4) ◽  
pp. 47-54
Author(s):  
Marien D. Eve ◽  
Albert J. Peters
2018 ◽  
Vol 176 ◽  
pp. 01017 ◽  
Author(s):  
Giovanni Martucci ◽  
Valentin Simeonov ◽  
Ludovic Renaud ◽  
Alexander Haefele

RAman Lidar for Meteorological Observations (RALMO) is operated at MeteoSwiss and provides continuous measurements of water vapor and temperature since 2010. While the water vapor has been acquired by a Licel acquisition system since 2008, the temperature channels have been migrated to a Fastcom P7888 acquisition system, since August 2015. We present a characterization of this new acquisition system, namely its dead-time, desaturation, temporal stability of the Pure Rotational Raman signals and the retrieval of the PRR-temperature.


2016 ◽  
Vol 43 (6Part1) ◽  
pp. 2802-2806 ◽  
Author(s):  
Rodney D. Wiersma ◽  
Bradley P. McCabe ◽  
Andrew H. Belcher ◽  
Patrick J. Jensen ◽  
Brett Smith ◽  
...  

2016 ◽  
Vol 31 (2) ◽  
pp. 483-494 ◽  
Author(s):  
William E. Line ◽  
Timothy J. Schmit ◽  
Daniel T. Lindsey ◽  
Steven J. Goodman

Abstract The Geostationary Operational Environmental Satellite-14 (GOES-14) Imager was operated by the National Oceanic and Atmospheric Administration (NOAA) in an experimental rapid scan 1-min mode during parts of 2012, 2013, 2014, and 2015. This scan mode, known as the Super Rapid Scan Operations for GOES-R (SRSOR), emulates the high-temporal-resolution sampling that will be provided by the Advanced Baseline Imager on the next-generation GOES-R series. NOAA/National Weather Service/Storm Prediction Center (SPC) forecasters utilized the 1-min imagery extensively in operations when available over convectively active regions. They found it provided them with unique insight into relevant features and processes before, during, and after convective initiation. This paper introduces how the SRSOR datasets from GOES-14 were used by SPC forecasters and how these data are likely to be applied when available operationally from GOES-R. Several animations, included as supplemental material, showcase the rapid change of severe weather–related phenomena observed during the 2014 and 2015 SRSOR campaigns from the GOES-14 Imager.


2016 ◽  
Vol 8 (7) ◽  
pp. 570 ◽  
Author(s):  
Cécile Cazals ◽  
Sébastien Rapinel ◽  
Pierre-Louis Frison ◽  
Anne Bonis ◽  
Grégoire Mercier ◽  
...  

2021 ◽  
Author(s):  
Darawan Rinchai ◽  
Sara Deola ◽  
Gabriele Zoppoli ◽  
Basirudeen Syed Ahamed Kabeer ◽  
Sara Ahmad Taleb ◽  
...  

Knowledge of the factors contributing to the development of protective immunity after vaccination with COVID-19 mRNA vaccines is fragmentary. Thus we employed high-temporal-resolution transcriptome profiling and in-depth characterization of antibody production approaches to investigate responses to COVID-19 mRNA vaccination. There were marked differences in the timing and amplitude of the responses to the priming and booster doses. Notably, two distinct interferon signatures were identified, that differed based on their temporal patterns of induction. The first signature (S1), which was preferentially induced by type I interferon, peaked at day 2 post-prime and at day 1 post-boost, and in both instances was associated with subsequent development of the antibody response. In contrast, the second interferon signature (S2) peaked at day 1 both post-prime and post-boost but was found to be potently induced only post-boost, where it coincided with a robust inflammation peak. Notably, we also observed post-prime-like (S1++,S20/+) and post-boost-like (S1++,S2++) patterns of interferon response among COVID-19 patients. A post-boost-like signature was observed in most severely ill patients at admission to the intensive care unit and was associated with a shorter hospital stay. Interestingly, severely ill patients who stayed hospitalized the longest showed a peculiar pattern of interferon induction (S1-/0,S2+), that we did not observe following the administration of mRNA vaccines. In summary, high temporal resolution profiling revealed an elaborate array of immune responses elicited by priming and booster doses of COVID-19 mRNA vaccines. Furthermore, it contributed to the identification of distinct interferon-response phenotypes underpinning vaccine immunogenicity and the course of COVID-19 disease.


2017 ◽  
Vol 32 (12) ◽  
pp. 2455-2462 ◽  
Author(s):  
Ildikó Kálomista ◽  
Albert Kéri ◽  
Ditta Ungor ◽  
Edit Csapó ◽  
Imre Dékány ◽  
...  

By combining normal and high temporal resolution spICP-MS measurements, the accurate dimensional analysis of nanorods is possible.


2003 ◽  
Vol 28 (18) ◽  
pp. 1710 ◽  
Author(s):  
Steven P. Jamison ◽  
Jingling Shen ◽  
A. M. MacLeod ◽  
W. A. Gillespie ◽  
D. A. Jaroszynski

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