DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp585 - The Metropolitan City of Turin (CMTo, Italy)

Bibliographic Details
Main Authors:	DISTENDER, Foundation for Climate Researh
Format:	Recurso digital
Published:	Zenodo 2025
Subjects:	DISTENDER Climate Downscaling Statistical Scenarios
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D1, Vertical level 10m, Global model MPI-ESM1-2-HR, scenario ssp370 - The Metropolitan City of Turin (CMTo, Italy)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model CanESM5, scenario ssp585 - The North-east of the Netherlands (HUAS)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp245 - The North-east of the Netherlands (HUAS)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 2m, Global model MPI-ESM1-2-HR, scenario ssp245 - The North-east of the Netherlands (HUAS)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 10m, Global model MPI-ESM1-2-HR, scenario ssp370 - The North-east of the Netherlands (HUAS)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp126 - The North-east of the Netherlands (HUAS)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model CanESM5, scenario ssp585 - Dehesas(Spain) and Montados(Portugal)(EURAF)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 10m, Global model CanESM5, scenario ssp245 - The North-east of the Netherlands (HUAS)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D2, Vertical level 10m, Global model EC-EARTH3, scenario ssp585 - Guimaraes (Portugal)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 10m, Global model EC-EARTH3, scenario ssp370 - The North-east of the Netherlands (HUAS)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D2, Vertical level 50m, Global model EC-EARTH3, scenario Historical - Guimaraes (Portugal)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D2, Vertical level 10m, Global model EC-EARTH3, scenario Historical - Guimaraes (Portugal)
by: DISTENDER, et al.
Published: (2025)

DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model EC-EARTH3, scenario Historical - The North-east of the Netherlands (HUAS)
by: DISTENDER, et al.
Published: (2025)

DISTENDER indicators for Round 1 (only climate signal) and for: Air Quality and Emissions; Urban Heat Island; Health; Water; Energy; Agroforestry; Sectorial economy; Risk and Vulnerability. Case study: The Metropolitan City of Turin (CMTo, Italy). Global climate model: CAN-ESM5. Scenario: SSP585.
by: DISTENDER, et al.
Published: (2025)

DISTENDER indicators for Round 1 (only climate signal) and for: Air Quality and Emissions; Urban Heat Island; Health; Water; Energy; Agroforestry; Sectorial economy; Risk and Vulnerability. Case study: Guimaraes (Portugal). Global climate model: MPI-ESM1-2-HR. Scenario: SSP126.
by: DISTENDER, et al.
Published: (2025)

DISTENDER indicators for Round2a (climate and socioeconomic signal) and for: Air Quality and Emissions; Urban Heat Island; Health; Water; Energy; Agroforestry; Sectorial economy; Risk and Vulnerability. Case study: Austria. Global climate model: MPI-ESM1-2-HR. Scenario: SSP245.
by: DISTENDER, et al.
Published: (2025)

DISTENDER indicators for Round2a (climate and socioeconomic signal) and for: Air Quality and Emissions; Urban Heat Island; Health; Water; Energy; Agroforestry; Sectorial economy; Risk and Vulnerability. Case study: Austria. Global climate model: EC-EARTH3. Scenario: SSP245.
by: DISTENDER, et al.
Published: (2025)

DISTENDER indicators for Round2a (climate and socioeconomic signal) and for: Air Quality and Emissions; Urban Heat Island; Health; Water; Energy; Agroforestry; Sectorial economy; Risk and Vulnerability. Case study: The North-east of the Netherlands (HUAS). Global climate model: Ind. Scenario: SSP126.
by: DISTENDER, et al.
Published: (2025)

DISTENDER indicators for Round2a (climate and socioeconomic signal) and for: Air Quality and Emissions; Urban Heat Island; Health; Water; Energy; Agroforestry; Sectorial economy; Risk and Vulnerability. Case study: Dehesas (Spain) and Montados (Portugal) (EURAF). Global climate model: Ind. Scenario: SSP245.
by: DISTENDER, et al.
Published: (2025)

DISTENDER indicators for Round2a (climate and socioeconomic signal) and for: Air Quality and Emissions; Urban Heat Island; Health; Water; Energy; Agroforestry; Sectorial economy; Risk and Vulnerability. Case study: The North-east of the Netherlands (HUAS). Global climate model: EC-EARTH3. Scenario: SSP126.
by: DISTENDER, et al.
Published: (2025)

A Two-Stage Downscaling Approach using Machine Learning and image super-resolution techniques for high-resolution seasonal climate forecasts in the Alpine region
by: Dhinakaran, Suriyah, et al.
Published: (2025)

From Real-World Traffic Data to Scenarios in the Context of Automated Vehicles
by: Klitzke, Lars
Published: (2026)

Using Artificial Neural Networks to predict monthly precipitation for the Cali river basin, Colombia
by: Daniel David Montenegro-Murillo
Published: (2019)

Alternative scenarios of the demographic development of rural Russia: analysis and forecast
by: Tatiana Viktorovna Blinova
Published: (2021)

DOWNSCALING DE VARIABLES CLIMÁTICAS A PARTIR DEL REANÁLISIS NCEP/NCAR EN EL SUDOESTE DE LA PROVINCIA DE BUENOS AIRES (ARGENTINA)
by: F. Ferrelli
Published: (2016)

Machine Learning Models in Climate Prediction and Adaptation Planning for Ethiopia: A Technological Perspective
by: Kassa, Bedru, et al.
Published: (2006)

Classification of 2007 Winter Mist and Fog in São Paulo City, Brazil
by: Brenda Almeida Santos
Published: (2023)

Dynamics and learning scenarios for the road infrastructure development system: Colombian case
by: Gabriel Mauricio Martínez-Toro
Published: (2021)

Estimate of the Functional Size in the Requirements Elicitation
by: Mabel Bertolami
Published: (2005)

Chapter Connecting to the future
by: Kousi, Nefeli, et al.
Published: (2023)

Authoring Tool for Creating Tangible Interaction-Based Educational Activities
by: Verónica Artola
Published: (2015)

TRANSFORMATION OF STRATEGIC HUMAN RESOURCE SOLUTION IN THE PORT OPERATOR CORPORATION : A SCENARIO APPROACH
by: Giswari Meisya Nabilah, et al.
Published: (2026)

LOSSES ON THE ATLANTIC MATA VEGETATION INDUCED BY LAND USE CHANGES
by: Elfany Reis do Nascimento Lopes
Published: (2018)

Model Based Testing for Workflow Enabled Applications
by: Mario E. Sánchez
Published: (2011)

Evaluación de opciones de mitigación en el contexto de la 2da comunicación nacional a la convención marco de naciones unidas sobre el cambio climático
by: Somoza, José, et al.
Published: (2016)

Cenários Futuros Para o Desenvolvimento de Coleção de Moda Slow: estudo de caso Brisa Slow Fashion
by: Anerose Perini
Published: (2018)

LAND-USE CHANGE IMPACTS ON THE HYDROLOGY OF THE UPPER GRANDE RIVER BASIN, BRAZIL
by: Vinícius Augusto de Oliveira
Published: (2018)

DESCARTES'S MODAL RELIABILISM
by: Modesto M. Gómez Alonso
Published: (2011)

Model output and Data for Decadal biogeochemical predictions for the bottom marine environment of the Northeast U.S. Continental Shelf
by: Koul, Vimal
Published: (2025)

Similar Items

Similar Items