- 著者
- Pavetti Infanzon Alicia Tanaka Kenji Kotsuki Shunji Tanaka Shigenobu
- 出版者
- 水文・水資源学会
- 雑誌
- 水文・水資源学会研究発表会要旨集 水文・水資源学会2014年度研究発表会
- 巻号頁・発行日
- pp.100006, 2014 (Released:2014-12-01)
Paraguay had dense forest cover until the 1970s but due to agricultural expansion, the country lost almost two thirds of its Atlantic forest (Huang et al., 2007). Such landscape transformation is believed to influence regional climate because it alters surface-atmosphere interactions . This research aims to reproduce past surface parameters for Paraguay and apply them to investigate the impacts of land use change in November rainfall. For this, the AVHRR NDVI data series (1981-2006) and SPOT Vegetation product (1999-current) were correlated to adjust the AVHRR product in order to reduce sampling errors. These surface parameters, along with vegetation scenarios for the 1990s and 2000s, were then used in meso-scale numerical weather prediction model (CReSiBUC) to perform two sets of simulations for November 2006 -2011 to assess the potential regional impacts of land cover change on precipitation during November and the mechanisms that may lead to variations in regional climate.
- 著者
- Pavetti Infanzon Alicia Tanaka Kenji Tanaka Shigenobu
- 出版者
- 水文・水資源学会
- 雑誌
- 水文・水資源学会研究発表会要旨集 水文・水資源学会2015年度研究発表会
- 巻号頁・発行日
- pp.100050, 2015 (Released:2015-12-01)
Changes in vegetation traits are capable of affecting the exchanges processes of momentum, heat, and moisture between the atmosphere and the surface influencing climate over different spatial en temporal scales. Paraguay had dense forest cover until 1970 but due to agricultural expansion, the country lost two thirds of its Atlantic forest. This study aims to assess the impacts of the actual land cover changes, produced in Paraguay between the years 2000 and 1990, on the climate under wet and dry conditions. For this, the meso-scale numerical prediction model CReSiBUC was used to perform two sets of simulations for November (wet setting) and July (dry setting) 2006-2012. Each of these simulation sets used different vegetation scenarios and NDVI data but kept constant all other boundary and initial conditions. Thus, the potential effects of land-use change on precipitation were modeled and the mechanisms that may drive changes in local/regional climate were studied.