M Mu
Biographic Data
| ID | 7992532 |
|---|---|
| NAME | M Mu |
| GIVEN NAMES | M |
| FAMILY NAME | Mu |
| SIGNATURE | MU M |
| AFFILIATIONS | University of California, Irvine |
| ORCID | 0000-0002-9498-7920 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 0 |
Global fire emissions estimates during 1997–2016
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire dynamics in many regions. To develop a mechanistic understanding of the changing role of these drivers and their impact on atmospheric composition, long-term fire records are needed that fuse information from different satellite and in situ data streams. Here we describe the fourth version of the Global Fire Emissions Database (GFED) and quantify g…
Multimodel uncertainty changes in simulated river flows induced by human impact parameterizations
Human impacts increasingly affect the global hydrological cycle and indeed dominate hydrological changes in some regions. Hydrologists have sought to identify the human-impact-induced hydrological variations via parameterizing anthropogenic water uses in global hydrological models (GHMs). The consequently increased model complexity is likely to introduce additional uncertainty among GHMs. Here, using four GHMs, between-model uncertainties are qua…
Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends
We examined natural and anthropogenic controls on terrestrial evapotranspiration (ET) changes from 1982 to 2010 using multiple estimates from remote sensing-based datasets and process-oriented land surface models. A significant increasing trend of ET in each hemisphere was consistently revealed by observationally-constrained data and multi-model ensembles that considered historic natural and anthropogenic drivers. The climate impacts were simulat…
Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009)
New burned area datasets and top-down constraints from atmospheric concentration measurements of pyrogenic gases have decreased the large uncertainty in fire emissions estimates. However, significant gaps remain in our understanding of the contribution of deforestation, savanna, forest, agricultural waste, and peat fires to total global fire emissions. Here we used a revised version of the Carnegie-Ames-Stanford-Approach (CASA) biogeochemical mod…
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Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009)
New burned area datasets and top-down constraints from atmospheric concentration measurements of pyrogenic gases have decreased the large uncertainty in fire emissions estimates. However, significant gaps remain in our understanding of the contribution of deforestation, savanna, forest, agricultural waste, and peat fires to total global fire emissions. Here we used a revised version of the Carnegie-Ames-Stanford-Approach (CASA) biogeochemical mod…
Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends
We examined natural and anthropogenic controls on terrestrial evapotranspiration (ET) changes from 1982 to 2010 using multiple estimates from remote sensing-based datasets and process-oriented land surface models. A significant increasing trend of ET in each hemisphere was consistently revealed by observationally-constrained data and multi-model ensembles that considered historic natural and anthropogenic drivers. The climate impacts were simulat…
Global fire emissions estimates during 1997–2016
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire dynamics in many regions. To develop a mechanistic understanding of the changing role of these drivers and their impact on atmospheric composition, long-term fire records are needed that fuse information from different satellite and in situ data streams. Here we describe the fourth version of the Global Fire Emissions Database (GFED) and quantify g…
Multimodel uncertainty changes in simulated river flows induced by human impact parameterizations
Human impacts increasingly affect the global hydrological cycle and indeed dominate hydrological changes in some regions. Hydrologists have sought to identify the human-impact-induced hydrological variations via parameterizing anthropogenic water uses in global hydrological models (GHMs). The consequently increased model complexity is likely to introduce additional uncertainty among GHMs. Here, using four GHMs, between-model uncertainties are qua…
Environmental Science (4 works) · Atmospheric and Environmental Gas Dynamics (3 works) · Climatology (3 works) · Atmospheric sciences (2 works) · Ecology (2 works) · Fire effects on ecosystems (2 works) · Geography (2 works) · Agriculture (1 works) · Agroforestry (1 works) · Archaeology (1 works)