Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Linear inverse modeling"'
Autor:
Balasubramanya T. Nadiga
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 4, Pp n/a-n/a (2021)
Abstract Reduced‐order dynamical models play a central role in developing our understanding of predictability of climate irrespective of whether we are dealing with the actual climate system or surrogate climate models. In this context, the linear
Externí odkaz:
https://doaj.org/article/72edb6b614be428390a8b62a2cdbc1ab
Autor:
Quentin Nogues, Aurore Raoux, Emma Araignous, Aurélie Chaalali, Tarek Hattab, Boris Leroy, Frida Ben Rais Lasram, Valérie David, François Le Loc'h, Jean-Claude Dauvin, Nathalie Niquil
Publikováno v:
Ecological Indicators, Vol 121, Iss , Pp 107128- (2021)
In an increasingly anthropogenic world, the scientific community and managers have to take interactions between the drivers of ecosystems into consideration. Tools like ecological network analysis (ENA) indices offer the opportunity to study those in
Externí odkaz:
https://doaj.org/article/8a407f7e87274889b6bab0bdd19a0bf1
Publikováno v:
Land, Vol 10, Iss 7, p 713 (2021)
Soil moisture anomalies underpin a number of critical hydrological phenomena with socioeconomic consequences, yet systematic studies of soil moisture predictability are limited. Here, we use a data-adaptive technique, Linear Inverse Modeling, which h
Externí odkaz:
https://doaj.org/article/3e72a0a2d3ba46cbac91bf0eb52958b5
Publikováno v:
Land
Volume 10
Issue 7
Volume 10
Issue 7
Soil moisture anomalies underpin a number of critical hydrological phenomena with socioeconomic consequences, yet systematic studies of soil moisture predictability are limited. Here, we use a data-adaptive technique, Linear Inverse Modeling, which h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::9e72651726cf54e7490a4c0240ba407e
Autor:
Nogues, Quentin, Raoux, Aurore, Araignous, Emma, Chaalali, Aurélie, Hattab, Tarek, Leroy, Boris, Ben Rais Lasram, Frida, David, Valérie, Le Loc'h, François, Dauvin, Jean-Claude, Niquil, Nathalie
Publikováno v:
Ecological Indicators
Ecological Indicators, 2021, 121, pp.107128. ⟨10.1016/j.ecolind.2020.107128⟩
Ecological Indicators, Elsevier, In press, ⟨10.1016/j.ecolind.2020.107128⟩
Ecological Indicators, 2021, 121, pp.107128. ⟨10.1016/j.ecolind.2020.107128⟩
Ecological Indicators, Elsevier, In press, ⟨10.1016/j.ecolind.2020.107128⟩
(IF 6.26; Q1); International audience; In an increasingly anthropogenic world, the scientific community and managers have to take interactions between the drivers of ecosystems into consideration. Tools like ecological network analysis (ENA) indices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::adefdb89931622d0f3a2edf72a3db14c
https://hal.science/hal-03070300
https://hal.science/hal-03070300
Autor:
Nathalie Niquil, Quentin Nogues, Aurélie Chaalali, Aurore Raoux, Valérie David, François Le Loc'h, Boris Leroy, Frida Ben Rais Lasram, Tarek Hattab, Jean-Claude Dauvin, Emma Araignous
Publikováno v:
Ecological Indicators
Ecological Indicators, Elsevier, In press, ⟨10.1016/j.ecolind.2020.107128⟩
Ecological Indicators, Vol 121, Iss, Pp 107128-(2021)
Ecological Indicators (1470-160X) (Elsevier BV), 2021-02, Vol. 121, P. 107128 (13p.)
Ecological Indicators, 2021, 121, pp.107128. ⟨10.1016/j.ecolind.2020.107128⟩
Ecological Indicators, Elsevier, In press, ⟨10.1016/j.ecolind.2020.107128⟩
Ecological Indicators, Vol 121, Iss, Pp 107128-(2021)
Ecological Indicators (1470-160X) (Elsevier BV), 2021-02, Vol. 121, P. 107128 (13p.)
Ecological Indicators, 2021, 121, pp.107128. ⟨10.1016/j.ecolind.2020.107128⟩
(IF 6.26; Q1); International audience; In an increasingly anthropogenic world, the scientific community and managers have to take interactions between the drivers of ecosystems into consideration. Tools like ecological network analysis (ENA) indices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b719cda54b90279b86dbb404478ae95
http://www.documentation.ird.fr/hor/fdi:010080611
http://www.documentation.ird.fr/hor/fdi:010080611
Akademický článek
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Akademický článek
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Publikováno v:
Land, Vol 10, Iss 713, p 713 (2021)
Soil moisture anomalies underpin a number of critical hydrological phenomena with socioeconomic consequences, yet systematic studies of soil moisture predictability are limited. Here, we use a data-adaptive technique, Linear Inverse Modeling, which h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ccf945cab3c2b6960cee72cde1ff0ed
https://doi.org/10.3390/land10070713
https://doi.org/10.3390/land10070713
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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