Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Roni Avissar"'
Autor:
Simone Fatichi, Dani Or, Robert Walko, Harry Vereecken, Michael H. Young, Teamrat A. Ghezzehei, Tomislav Hengl, Stefan Kollet, Nurit Agam, Roni Avissar
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
The effect of soil structure is not included in most Earth System Models. The authors here introduce and evaluate the consequences at local and global scale of modifying hydraulic properties of soils in response to biological activity—a process sig
Externí odkaz:
https://doaj.org/article/5d684711c6564a11a7765b7d4ef8863c
Autor:
Tomislav Hengl, Simone Fatichi, Stefan Kollet, Roni Avissar, Teamrat A. Ghezzehei, Harry Vereecken, Robert L. Walko, Michael H. Young, Nurit Agam, Dani Or
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Nature Communications 11(1), 522 (2020). doi:10.1038/s41467-020-14411-z
Nature Communications, 11 (1)
Nature Communications
Nature communications, vol 11, iss 1
Nature Communications 11(1), 522 (2020). doi:10.1038/s41467-020-14411-z
Nature Communications, 11 (1)
Nature Communications
Nature communications, vol 11, iss 1
Most soil hydraulic information used in Earth System Models (ESMs) is derived from pedo-transfer functions that use easy-to-measure soil attributes to estimate hydraulic parameters. This parameterization relies heavily on soil texture, but overlooks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba00a965d6d229585bddf5da18613b83
Publikováno v:
Journal of Climate. 26:9115-9136
Numerical models have long predicted that the deforestation of the Amazon would lead to large regional changes in precipitation and temperature, but the extratropical effects of deforestation have been a matter of controversy. This paper investigates
The purpose of this project was to improve the representation of convection in atmospheric weather and climate models that employ computational grids with spatially-variable resolution. Specifically, our work targeted models whose grids are fine enou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7efbdb33a8f25d4635cee35f77b3c0a4
https://doi.org/10.2172/1330997
https://doi.org/10.2172/1330997
Autor:
Roni Avissar, Robert L. Walko
Publikováno v:
Monthly Weather Review. 139:3923-3937
A scheme is presented for constructing refined regions of 2D unstructured computational meshes composed of triangular cells. The method preserves the conforming property of the original unrefined mesh and does not produce hanging nodes. The procedure
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 28:671-683
The Duke University Helicopter Observation Platform (HOP) has previously been shown to be a useful instrument for the measurement of turbulent atmospheric fluxes. As with all such measurements, especially those made from moving platforms, spurious si
Publikováno v:
Journal of Climate. 24:2147-2163
This study investigates how future deforestation in the Amazon may alter precipitation statistics in South America using a variable-resolution GCM. The model’s grid mesh is set up to cover South America and nearby oceans at mesoscale (25 km) resolu
Autor:
Tony Whipple, Richard A. Luettich, Brian Zachry, Qin Chen, Andrew B. Kennedy, Robert J. Weaver, Janelle V. Reynolds-Fleming, Uriah Gravois, Roni Avissar
Publikováno v:
Continental Shelf Research. 30:1743-1752
Hurricanes can produce extreme nearshore waves and surge, but permanent gauging stations are often much sparser than is desired. This paper describes the rationale behind and outline for rapidly installed temporary coastal gauges, and presents result
Publikováno v:
Monthly Weather Review. 138:1923-1939
This work continues the presentation and evaluation of the Ocean–Land–Atmosphere Model (OLAM), focusing on the model’s ability to represent radiation and precipitation. OLAM is a new, state-of-the-art earth system model, capable of user-specifi
Publikováno v:
Boundary-Layer Meteorology. 132:351-382
The Regional Atmospheric Modeling System (RAMS)-based Forest Large-Eddy Simulation (RAFLES), developed and evaluated here, is used to explore the effects of three-dimensional canopy heterogeneity, at the individual tree scale, on the statis- tical pr