2016
DOI: 10.1155/2016/9586896
|View full text |Cite
|
Sign up to set email alerts
|

Spatiotemporal Changes of Reference Evapotranspiration in Mongolia during 1980–2006

Abstract: Reference evapotranspiration (RET) plays an important role in the terrestrial hydrological cycle. Applying the Penman-Monteith method, the RET over Mongolia was estimated from 1980 to 2006. The changing trends and magnitude of RET were detected by the Mann-Kendall test and Theil-Sen’s slope methods. Meanwhile, aridity indices were estimated using two different indices. The impacts of meteorological variables on RET were assessed through sensitive analysis by comparing the resulting RETs from artificially distu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

5
5
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(10 citation statements)
references
References 43 publications
5
5
0
Order By: Relevance
“…In Mongolia, ET 0 is influenced by the ocean, land cover, and topography. 42 In the semiarid region of northeastern China, the peak daily evapotranspiration occurred in August for the degraded grassland and cropland land surface China 43 The results of this study are in agreement with those reported by Davis 44 who observed an increase in evapotranspiration across southern Africa, including Madagascar. n.s, Non-significant, +, Significant at 5%; *, Significant at 1%; **, Significant at 0.1%; ***, Significant at 0.01%…”
Section: Temporal Trends Of Annual and Monthly Reference Evapotranspisupporting
confidence: 89%
“…In Mongolia, ET 0 is influenced by the ocean, land cover, and topography. 42 In the semiarid region of northeastern China, the peak daily evapotranspiration occurred in August for the degraded grassland and cropland land surface China 43 The results of this study are in agreement with those reported by Davis 44 who observed an increase in evapotranspiration across southern Africa, including Madagascar. n.s, Non-significant, +, Significant at 5%; *, Significant at 1%; **, Significant at 0.1%; ***, Significant at 0.01%…”
Section: Temporal Trends Of Annual and Monthly Reference Evapotranspisupporting
confidence: 89%
“…In Mongolia, ET 0 is influenced by the ocean, land cover, and topography. 42 In the semiarid region of northeastern China, the peak daily evapotranspiration occurred in August for the degraded grassland and cropland land surface China 43 The results of this study are in agreement with those reported by Davis 44 who observed an increase in evapotranspiration across southern Africa, including Madagascar. N, Number of years; Z, Mann-Kendall test statistic; f(year) = Q*(year-firstDataYear) + B n.s, Non-significant, +, Significant at 5%; *, Significant at 1%; **, Significant at 0.1%; ***, Significant at 0.01% Table 3 Sen's slope estimates (mm/day) and its significance for the temporal trend in monthly ET 0 across Madagascar The ET 0 patterns observed might be influenced by the topography and trade wind circulations as it significantly impacted rainfall and temperature patterns in the country.…”
Section: Temporal Trends Of Annual and Monthly Reference Evapotranspisupporting
confidence: 90%
“…In Mongolia, ET 0 is influenced by the ocean, land cover, and topography. 42 In the semiarid region of northeastern China, the peak daily evapotranspiration occurred in August for the degraded grassland and cropland land surface China 43 The results of this study are in agreement with those reported by Davis 44 who observed an increase in evapotranspiration across southern Africa, including Madagascar. …”
supporting
confidence: 90%
“…Willett et al ., ; Durre et al ., ) and wind speed (see McVicar et al ., and the references therein) means some studies report increasing AED trends (e.g. Abtew et al ., ; Tabari et al ., ; Vicente‐Serrano et al ., ; Yu et al ., ) while others report decreases AED trends (e.g. Peterson et al ., ; Roderick and Farquhar, .…”
Section: Introductionmentioning
confidence: 99%