From Wikipedia, the free encyclopedia
JULES (Joint UK Land Environment Simulator) is a
land-surface parameterisation model scheme describing soil-vegetation-atmosphere interactions.
[1] JULES is a community led[
citation needed ] project which evolved from MOSES, the
United Kingdom Meteorological Office (Met Office) Surface Exchange Scheme.
[2] It can be used as a stand-alone model or as the land surface part of the Met Office Unified Model.
[2] JULES has been used to help decide what tactics would be effective to help meet the goals of the
Paris Agreement .
[3] As well as use by the Met Office
climate modelling group
[4] a number of studies have cited JULES and used it as a tool to assess the
effects of climate change , and to simulate environmental factors from
groundwater to
carbon in the atmosphere .
[5]
[6]
[7]
[8]
[9]
JULES has been described as the most accurate
global carbon budget model of net
ecosystem productivity, because it has more years of data than other models.
[10]
References
^
"Joint UK Land Environment Simulator (JULES)" . Joint UK Land Environment Simulator (JULES) . Retrieved 2020-08-19 .
^
a
b
"Joint UK Land Environment Simulator (JULES)" .
Met Office . Retrieved 2020-08-19 .
^ Phelan, Matthew (7 August 2018).
"Meeting Paris Agreement Global Warming Goals May Require Lots More Forests" . Inverse . Retrieved 2020-08-15 .
^
"Climate impacts" . Met Office . Retrieved 2020-08-19 .
^ Osborne, T.; Gornall, J.; Hooker, J.; Williams, K.; Wiltshire, A.; Betts, R.; Wheeler, T. (October 2014).
"JULES-crop: a parametrisation of crops in the Joint UK Land Environment Simulator" (PDF) . Geoscientific Model Development Discussions . 7 (5): 6773–6809.
Bibcode :
2014GMDD....7.6773O .
doi :
10.5194/gmdd-7-6773-2014 .
^ Best, M. J.; Pryor, M.; Clark, D. B.; Rooney, G. G.; Essery, R. L. H.; Ménard, C. B.; Edwards, J. M.; Hendry, M. A.; Porson, A.; Gedney, N.; Mercado, L. M. (2011).
"The Joint UK Land Environment Simulator (JULES), model description – part 1: energy and water fluxes" . Geoscientific Model Development . 4 (3): 677–699.
Bibcode :
2011GMD.....4..677B .
doi :
10.5194/gmd-4-677-2011 .
hdl :
20.500.11820/f4a1d33b-17bd-4b8b-8b72-c511ab7a5948 .
ISSN
1991-9603 .
^ Yuan, Wenping; Zheng, Yi; Piao, Shilong; Ciais, Philippe; Lombardozzi, Danica; Wang, Yingping; Ryu, Youngryel; Chen, Guixing; Dong, Wenjie; Hu, Zhongming; Jain, Atul K. (2019-08-01).
"Increased atmospheric vapor pressure deficit reduces global vegetation growth" . Science Advances . 5 (8): eaax1396.
Bibcode :
2019SciA....5.1396Y .
doi :
10.1126/sciadv.aax1396 .
ISSN
2375-2548 .
PMC
6693914 .
PMID
31453338 .
^ Yin, Yuanyuan; Tang, Qiuhong; Wang, Lixin; Liu, Xingcai (2016-02-12).
"Risk and contributing factors of ecosystem shifts over naturally vegetated land under climate change in China" . Scientific Reports . 6 (1): 20905.
Bibcode :
2016NatSR...620905Y .
doi :
10.1038/srep20905 .
ISSN
2045-2322 .
PMC
4751438 .
PMID
26867481 .
^ Batelis, Stamatis-Christos; Rahman, Mostaquimur; Kollet, Stefan; Woods, Ross; Rosolem, Rafael (2020).
"Towards the representation of groundwater in the Joint UK Land Environment Simulator" . Hydrological Processes . 34 (13): 2843–2863.
Bibcode :
2020HyPr...34.2843B .
doi :
10.1002/hyp.13767 .
hdl :
1983/dbebc317-eec9-4bf7-9ef7-08f8d7b28423 .
ISSN
1099-1085 .
^ Davies-Barnard, Taraka; Meyerholt, Johannes; Zaehle, Sönke; Friedlingstein, Pierre; Brovkin, Victor; Fan, Yuanchao; Fisher, Rosie A.; Jones, Chris D.; Lee, Hanna; Peano, Daniele; Smith, Benjamin; Wårlind, David; Wiltshire, Andy J. (2020).
"Nitrogen Cycling in CMIP6 Land Surface Models: Progress and Limitations" (PDF) . Biogeosciences (Preprint) . 17 (20): 5129.
Bibcode :
2020BGeo...17.5129D .
doi :
10.5194/bg-17-5129-2020 .
External links
Atmospheric, oceanographic, cryospheric, and climate models
Specific models
Climate Global weather Regional and mesoscale atmospheric Regional and mesoscale oceanographic Atmospheric dispersion Chemical transport Land surface parametrization Cryospheric models Discontinued