Alpine cloud climatology using long-term NOAA-AVHRR satellite data

2001 ◽  
Vol 68 (3-4) ◽  
pp. 175-195 ◽  
Author(s):  
M. Kästner ◽  
K. T. Kriebel
Keyword(s):  
Satellite Data ◽  
Noaa Avhrr

Identification and correction of systematic error in NOAA AVHRR long-term satellite data record

2012 ◽  
Vol 127 ◽  
pp. 84-97 ◽  
Author(s):  
Rasim Latifovic ◽  
Darren Pouliot ◽  
Craig Dillabaugh
Keyword(s):  
Systematic Error ◽  
Satellite Data ◽  
Noaa Avhrr ◽  
Data Record

SATELLITE DATA FOR INVESTIGATION OF RECENT STATE AND PROCESSES IN THE SIVASH BAY

2017 ◽  
Author(s):  
Ekaterina Shchurova ◽  
Ekaterina Shchurova ◽  
Rimma Stanichnaya ◽  
Rimma Stanichnaya ◽  
Sergey Stanichny ◽  
...  
Keyword(s):  
Satellite Data ◽  
Water Exchange ◽  
High Salinity ◽  
Meteorological Data ◽  
Sea Surface ◽  
Azov Sea ◽  
Seasonal Wind ◽  
Ice Regime ◽  
Very High

Sivash bay is the shallow-water lagoon of the Azov Sea. Restricted water exchange and high evaporation form Sivash as the basin with very high salinity. This factor leads to different from the Azov Sea thermal and ice regimes of Sivash. Maine aim of the study presented to investigate recent state and changes of the characteristics and processes in the basin using satellite data. Landsat scanners TM, ETM+, OLI, TIRS together with MODIS and AVHRR were used. Additionally NOMADS NOAA and MERRA meteorological data were analyzed. The next topics are discussed in the work: 1. Changes of the sea surface temperature, ice regime and relation with salinity. 2. Coastal line transformation – long term and seasonal, wind impact. 3. Manifestation of the Azov waters intrusions through the Arabat spit, preferable wind conditions.

scholarly journals Supplementary material to "Cloud feedbacks in extratropical cyclones: insight from long-term satellite data and high-resolution global simulations"

2018 ◽  
Author(s):  
Daniel T. McCoy ◽  
Paul R. Field ◽  
Gregory S. Elsaesser ◽  
Alejandro Bodas-Salcedo ◽  
Brian H. Kahn ◽  
...  
Keyword(s):  
High Resolution ◽  
Satellite Data ◽  
Extratropical Cyclones ◽  
Cloud Feedbacks ◽  
Supplementary Material

scholarly journals Global and long-term comparison of SCIAMACHY limb ozone profiles with correlative satellite data (2002–2008)

2011 ◽  
Vol 4 (4) ◽  
pp. 4867-4910
Author(s):  
S. Mieruch ◽  
M. Weber ◽  
C. von Savigny ◽  
A. Rozanov ◽  
H. Bovensmann ◽  
...  
Keyword(s):  
Satellite Data ◽  
Convective Cloud ◽  
Residual Effects ◽  
Statistical Hypothesis ◽  
Systematic Bias ◽  
Statistical Hypothesis Testing ◽  
Trend Model ◽  
The Tropics ◽  
Linear Trends

Abstract. SCIAMACHY limb scatter ozone profiles from 2002 to 2008 have been compared with MLS (2005–2008), SABER (2002–2008), SAGE II (2002–2005), HALOE (2002–2005) and ACE-FTS (2004–2008) measurements. The comparison is performed for global zonal averages and heights from 10 to 50 km in one km steps. The validation was performed by comparing monthly mean zonal means and by comparing averages over collocated profiles within a zonal band and month. Both approaches yield similar results. For most of the stratosphere SCIAMACHY agrees to within 10 % or better with other correlative data. A systematic bias of SCIAMACHY ozone of up to 100 % between 10 and 20 km in the tropics points to some remaining issues with regard to convective cloud interference. Statistical hypothesis testing reveals at which altitudes and in which region differences between SCIAMACHY and other satellite data are statistically significant. We also estimated linear trends from monthly mean data for different periods where SCIAMACHY has common observations with other satellite data using a classical trend model with QBO and seasonal terms in order to draw conclusions on potential instrumental drifts as a function of latitude and altitude. SCIAMACHY exhibits a statistically significant negative trend in the range of of about 1–3 % per year depending on latitude during the period 2002–2005 (overlapping with HALOE and SAGE II) and somewhat less during 2002–2008 (overlapping with SABER) in the altitude range of 30–40 km, while in the period 2004–2008 (overlapping with MLS and ACE-FTS) no significant trends are observed. The statistically significant negative trends only observed with SCIAMACHY data point at some residual effects from errors in the tangent height registration.

A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data

2021 ◽  
pp. 112827
Author(s):  
Zongwei Ma ◽  
Sagnik Dey ◽  
Sundar Christopher ◽  
Riyang Liu ◽  
Jun Bi ◽  
...  
Keyword(s):  
Statistical Methods ◽  
Satellite Data ◽  
Large Scale

ESTIMATION OF THE ICE-FREE PERIOD LENGTH FOR THE RUSSIAN ARCTIC SEAS BASED ON SATELLITE DATA FOR 2018-2020

2021 ◽  
pp. 48-56
Author(s):  
V. G. SMIRNOV ◽  
◽  
I. A. BYCHKOVA ◽  
N. YU. ZAKHVATKINA ◽  
S. V. MIKHAL’TSEVA ◽  
...  
Keyword(s):  
Neural Network ◽  
Satellite Data ◽  
Radar Data ◽  
Russian Arctic ◽  
Arctic Seas ◽  
Neural Network Method ◽  
Northern Sea Route ◽  
Network Method ◽  
Satellite Radar

The paper describes the experience of using routine satellite radar data to estimate the length of the ice-free period in the Northern Sea Route using a neural network method for the ice cover classification. An earlier onset of melt and a later freezing of ice in the Russian Arctic seas as compared to long-term dates is confirmed.

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