A comparative analysis to depict underlying attributes that might determine successful implementation of local adaptation plans.

Current trends in climate change indicate that the impact on the most vulnerable systems will increase. Urban areas, which concentrate population, economic activity and infrastructures, are sometimes at high-risk locations. Yet they are to be considered as vulnerable systems in need of harmonized structures supporting their efforts towards mitigating climate effects and/or adapting their territories to them.

Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method.

Different types of measuring errors can increase the uncertainty of solar radiation measurements, but most common quality control (QC) methods do not detect frequent defects such as shading or calibration errors due to their low magnitude. We recently presented a new procedure, the Bias-based Quality Control (BQC), that detects low-magnitude defects by analyzing the stability of the deviations between several independent radiation databases and measurements. In this study, we extend the validation of the BQC by analyzing the quality of all publicly available Spanish radiometric networks measuring global horizontal irradiance (9 networks, 732 stations).

Extensive validation of CM SAF surface radiation products over Europe.

This work presents a validation of three satellite-based radiation products over an extensive network of 313 pyranometers across Europe, from 2005 to 2015. The products used have been developed by the Satellite Application Facility on Climate Monitoring (CM SAF) and are one geostationary climate dataset (SARAH-JRC), one polar-orbiting climate dataset (CLARA-A2) and one geostationary operational product. Further, the ERA-Interim reanalysis is also included in the comparison.

Estimation of total soluble solids in grape berries using a hand-held NIR spectrometer under field conditions.

Background: Recent studies have reported the potential of near infrared (NIR) spectral analysers for monitoring the ripeness of grape berries as an alternative to wet chemistry methods. This study covers various aspects regarding the calibration and implementation of predictive models of total soluble solids (TSS) in grape berries using laboratory and in-field collected NIR spectra.

Results: The performance of the calibration models obtained under laboratory conditions indicated that at least 700 berry samples are required to assure enough prediction accuracy.