Mapping 100 Years of Thornthwaite Moisture Index
Impact of Climate Change in V ictoria, A ustralia
Bibliographic Data
| ID | 7784651 |
|---|---|
| Authors | IMONE LEAO, Simone Leão (0000-0002-2455-5508, Deakin University, corresponding author) |
| Year | 2014 |
| Volume | 52 |
| Issue | 3 |
| Pages | 309-327 |
| Publication date | 2014-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Geographical Research (JOURNAL) |
| Journal identifiers | ISSN: 1745-5863 • E-ISSN: 1745-5871 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/1745-5871.12072 |
| OpenAlex | W1519305402 |
| Language | EN |
| Citations received | 1 |
| References cited | 25 |
Geographer C. W. T hornthwaite proposed in 1948 a moisture index called T hornthwaite M oisture I ndex ( TMI ) as part of a water balance model for a new classification system for climate. The importance of TMI climatic classification has been recognised in many areas of knowledge and practice worldwide over the last 60 years. However, although past climate research was focused on developing adequate methods for climate classification, current research is more concerned with understanding the patterns of climate change. The use of TMI as an indicator for climate change is still an incipient area of research. The contributions of this paper are twofold. First, it is to fully document a methodology based on geostatistics adopted to produce a time series of TMI maps that are accurate and have high spatial resolution. The state of V ictoria, in A ustralia, over the last century, is used as the case study. Second, by analysing these maps, the paper presents a general evaluation of the spatial patterns found in V ictoria related to moisture variability across space and over time. Some potential implications of the verified moisture changes are discussed, and a number of ideas for further development are suggested
Climate change · Climatology · Geography · Geostatistics · Meteorology · Moisture · Physical geography · Spatial variability · Statistics · Climate variability and models · Computer Science · Environmental Science · Hydrology and Drought Analysis · Mathematics · Soil Geostatistics and Mapping · Geology
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |