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Sea Surface Temperature Retrievals from Remote Sensing

Sea Surface Temperature Retrievals from Remote Sensing
Author: Jorge Vazquez
Publisher: MDPI
Total Pages: 341
Release: 2019-02-14
Genre: Chemistry
ISBN: 303897479X

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This book is a printed edition of the Special Issue "Sea Surface Temperature Retrievals from Remote Sensing" that was published in Remote Sensing


Optical Radiometry for Ocean Climate Measurements

Optical Radiometry for Ocean Climate Measurements
Author:
Publisher: Academic Press
Total Pages: 723
Release: 2014-11-13
Genre: Science
ISBN: 0124169945

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This book presents the state-of-the-art of optical remote sensing applied for the generation of marine climate-quality data products, with contributions by international experts in the field. The chapters are logically grouped into six thematic parts, each introduced by a brief overview. The different parts include: i. requirements for the generation of climate data records from satellite ocean measurements and additionally basic radiometry principles addressing terminology, standards, measurement equation and uncertainties; ii. satellite visible and thermal infrared radiometry embracing instrument design, characterization and, pre- and post-launch calibration; iii. in situ visible and thermal infrared radiometry including overviews on basic principles, technology and measurements methods required to support satellite missions devoted to climate change investigations; iv. simulations as fundamental tools to support interpretation and analysis of both in situ and satellite radiometric measurements; v. strategies for in situ radiometry to satisfy mission requirements for the generation of climate data records; and finally, vi. methods for the assessment of satellite data products. Fundamentals of measurement theory are taken through to implementation of practical ground based radiometers and their application to validate satellite data used to generate climate data records. This book presents practical solutions for those involved or contemplating the validation of optical climate measurements from satellite instruments. Exhaustive coverage of important topics Fundamental and advanced discussions of many types of instruments Emphasis on calibration and uncertainty analysis of results


Sensitivity of Satelllite Multichannel Sea Surface Temperature Retrievals to the Air-Sea Temperature Difference

Sensitivity of Satelllite Multichannel Sea Surface Temperature Retrievals to the Air-Sea Temperature Difference
Author:
Publisher:
Total Pages: 13
Release: 1993
Genre:
ISBN:

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The advanced very high resolution radiometer multichannel sea surface temperature (MCSST) retrieval technique provides global algorithm accuracy statistics generally showing a bias of less than 0.15 deg C and an rms error of less than 0.7 deg C when compared to collocated drifting buoy in situ data in the absence of aerosols. This remaining error is not always random but is shown to be correlated to the air-sea temperature difference. The MCSST technique is modeled and then compared to in situ data to show this dependency. Atmospheric radiative transfer calculations are used to provide a simulation of satellite retrieval sensitivity to air-sea temperature differences. Buoy sea surface temperature (SST) and air temperature observations are then presented as experimental verification of the simulation results. Retrieval errors depend both on the mean air-sea temperature difference conditions present in the data set used to empirically derive the algorithm and on the changes in air-sea- temperature difference conditions relative to the derivation data set mean conditions.


Fine-Resolution Satellite-Based Sea Surface Temperatures Over the Global Ocean

Fine-Resolution Satellite-Based Sea Surface Temperatures Over the Global Ocean
Author:
Publisher:
Total Pages: 17
Release: 2007
Genre:
ISBN:

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The accuracy and relative merits of two sets of daily global sea surface temperature (SST) analyses are examined and compared. The 1/8 Modular Ocean Data Analysis System (MODAS) of the Naval Research Laboratory (NRL) is based only on infrared satellite retrievals. The 1/2 Real-Time, Global (RTG) SST analysis of the National Centers for Environmental Prediction (NCEP) supplements infrared satellite observations with ship and buoy data. The accuracy of both products is reported, providing potential users of either data set a common basis to assess the strengths and weaknesses of either product Differences between the two show the impact of horizontal resolution, inclusion of source data streams, and different assumptions regarding error covariances. The global average of the root-mean-square (RMS) SST difference between MODAS and RTG is found to be 0.5l degrees C, with almost no mean bias. A global set of yearlong daily SST time series from moored buoys during 2002-2005 provides extensive validation data for this study. Comparisons at the locations of these 420 yearlong time series give a median RMS SST difference of 0.40 degrees C between MODAS and RTG. RMS error relative to the buoy observations is comparable, 0.38 degrees C for MODAS and 0.36 degrees C for RTG. The seasonal cycle of SST is well produced by both products with respect to the buoys with a median correlation coefficient of 0.94 for both products. Overall, higher resolution is an advantage for MODAS in improving pattern of daily SSTs, while including in Situ SSTs is an advantage for RTG.


Satellite-Derived Sea Surface Temperature

Satellite-Derived Sea Surface Temperature
Author: Jet Propulsion Laboratory (U.S.)
Publisher:
Total Pages: 158
Release: 1984
Genre: Artificial satellites
ISBN:

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Measuring the Oceans from Space

Measuring the Oceans from Space
Author: Ian S. Robinson
Publisher: Springer Science & Business Media
Total Pages: 752
Release: 2004-06-30
Genre: Science
ISBN: 9783540426479

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This book covers the fundamental principles of measuring oceans from space, and also contains state-of-the-art developments in data analysis and interpretation and in sensors. Completely new will be material covering advances in oceanography that have grown out of remote sensing, including some of the global applications of the data. The variety of applications of remotely sensed data to ocean science has grown significantly and new areas of science are emerging to exploit the gobal datasets being recovered by satellites, particularly in relation to climate and climate change, basin-scale, air-sea interaction processes (e.g. El Nino) and the modelling, forecasting and prediction of the ocean.