Influences of EU forests on weather patterns.
Sector: Nuclear
Source: Single Electronic Data Interchange Area (SEDIA)
The general objective of the present study is to provide an assessment of the influences of EU forests on weather patterns and, in particular, atmospheric precipitation at the scale of the European continent, focusing on the EU land area, by synthesising related work in this field. It will also provide rough but consistent figures and a solid rationale for evaluating the impact of EU forests on we
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The general objective of the present study is to provide an assessment of the influences of EU forests on weather patterns and, in particular, atmospheric precipitation at the scale of the European continent, focusing on the EU land area, by synthesising related work in this field. It will also provide rough but consistent figures and a solid rationale for evaluating the impact of EU forests on weather conditions in quantitative terms. The work should focus on assessing to what extent forest cover influences the atmospheric part of the hydrological cycle, its influence on EU weather and climate (winds, precipitation patterns, temperature variations, solar radiation) and the expected evolution of these parameters. It will also identify potential threats that might negatively affect weather-related environmental impacts, inter alia intensity of type of forest management (forest structure, species distribution, harvesting operations, etc.), biotic and abiotic disturbances, etc. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
