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[HTML][HTML] An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing
Ocean color measured from satellites provides daily global, synoptic views of spectral water-
leaving reflectances that can be used to generate estimates of marine inherent optical …
leaving reflectances that can be used to generate estimates of marine inherent optical …
Ocean biogeochemical modelling
Ocean biogeochemical models describe the ocean's circulation, physical properties,
biogeochemical properties and their transformations using coupled differential equations …
biogeochemical properties and their transformations using coupled differential equations …
A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring
Low-cost sensing strategies hold the promise of denser air quality monitoring networks,
which could significantly improve our understanding of personal air pollution exposure …
which could significantly improve our understanding of personal air pollution exposure …
Bias correction capabilities of quantile map** methods for rainfall and temperature variables
This study aims to conduct a thorough investigation to compare the abilities of quantile
map** (QM) techniques as a bias correction method for the raw outputs from general …
map** (QM) techniques as a bias correction method for the raw outputs from general …
[SÁCH][B] Modeling of atmospheric chemistry
GP Brasseur, DJ Jacob - 2017 - books.google.com
Mathematical modeling of atmospheric composition is a formidable scientific and
computational challenge. This comprehensive presentation of the modeling methods used …
computational challenge. This comprehensive presentation of the modeling methods used …
[HTML][HTML] Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide
The performances of several field calibration methods for low-cost sensors, including
linear/multi linear regression and supervised learning techniques are compared. A cluster of …
linear/multi linear regression and supervised learning techniques are compared. A cluster of …
[HTML][HTML] Field calibration of a cluster of low-cost commercially available sensors for air quality monitoring. Part B: NO, CO and CO2
In this work the performances of several field calibration methods for low-cost sensors,
including linear/multi linear regression and supervised learning techniques, are compared …
including linear/multi linear regression and supervised learning techniques, are compared …
[SÁCH][B] Forecast verification: a practitioner's guide in atmospheric science
IT Jolliffe, DB Stephenson - 2012 - books.google.com
Forecast Verification: A Practioner's Guide in Atmospheric Science, 2nd Edition provides an
indispensible guide to this area of active research by combining depth of information with a …
indispensible guide to this area of active research by combining depth of information with a …
[HTML][HTML] Assessment of air quality microsensors versus reference methods: The EuNetAir joint exercise
Abstract The 1st EuNetAir Air Quality Joint Intercomparison Exercise organized in Aveiro
(Portugal) from 13th–27th October 2014, focused on the evaluation and assessment of …
(Portugal) from 13th–27th October 2014, focused on the evaluation and assessment of …
ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels
The European Regional Seas Ecosystem Model (ERSEM) is one of the most established
ecosystem models for the lower trophic levels of the marine food web in the scientific …
ecosystem models for the lower trophic levels of the marine food web in the scientific …