Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Vishnu Thilakan"'
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102773- (2024)
In this paper, we introduce a methodology that can improve the estimations of Gross Primary Productivity (GPP) and ecosystem Respiration (Reco) processes at a regional scale. This method is based on a satellite data-driven approach which is suitable
Externí odkaz:
https://doaj.org/article/9f34f02e36164797b380d5bdf938369c
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-15 (2018)
Despite advances in ENSO modeling, super El Niño events remain largely unpredictable. Hameed et al. postulate that ENSO-IOD interaction is crucial for super El Niño development and identify a self-limiting factor that constrains ENSO dynamics from
Externí odkaz:
https://doaj.org/article/d50109f71255461495aaedd93a3262ae
Autor:
Vishnu Thilakan, Dhanyalekshmi Pillai, Christoph Gerbig, Michal Galkowski, Aparnna Ravi, Thara Anna Mathew
Publikováno v:
Atmospheric Chemistry and Physics
Improving the estimates of CO2 sources and sinks over India through inverse methods calls for a comprehensive atmospheric monitoring system involving atmospheric transport models that make a realistic accounting of atmospheric CO2 variability along w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::374c3e833786aa69c6392536d8796210
https://doi.org/10.5194/acp-22-15287-2022
https://doi.org/10.5194/acp-22-15287-2022
India needs a high-resolution estimation of carbon sources and sinks to implement the country’s climate change action plans and mitigation strategy effectively. Current carbon estimates over the Indian region based on the “Bottom-up” approach s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c098a0c7b82f89fba68639e107ee253a
https://doi.org/10.5194/egusphere-egu23-10975
https://doi.org/10.5194/egusphere-egu23-10975
Autor:
Aparnna Ravi, Dhanyalekshmi Pillai, Christoph Gerbig, Stephen Sitch, Sönke Zaehle, Vishnu Thilakan, Chandra Shekhar Jha
Publikováno v:
eISSN
Accurate quantification of regional terrestrial fluxes is essential for improving our knowledge of the carbon sequestration potential of ecosystems, ecosystem functioning, and emission reduction demand in the context of climate change mitigation. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54bd33eb80cf02a4b898953f5be6258c
https://doi.org/10.5194/egusphere-2023-817
https://doi.org/10.5194/egusphere-2023-817
Autor:
Vishnu Thilakan, Aparnna Ravi, D. Pillai, Michal Galkowski, Christoph Gerbig, Thara Anna Mathew
The prospect of improving the estimates of CO2 sources and sinks over India through inverse methods calls for a comprehensive atmospheric monitoring system involving atmospheric transport models that make a realistic accounting of atmospheric CO2 var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97d66f71a8a8cf55d3a0fbb760a7112f
https://acp.copernicus.org/preprints/acp-2021-392/
https://acp.copernicus.org/preprints/acp-2021-392/
Autor:
Michal Galkowski, Christoph Gerbig, Julia Marshall, Dhanyalekshmi Pillai, Thara Anna Mathew, Vishnu Thilakan, Aparnna Ravi
Climate change mitigation strategies require regional-scale estimations of CO2 fluxes, but estimates are often tampered with a significant amount of uncertainties due to multiple factors. In the case of the top-down approach, the error associated wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::316e331d93bb328ca6f5de9cc05be7cc
https://doi.org/10.5194/egusphere-egu21-9218
https://doi.org/10.5194/egusphere-egu21-9218
Autor:
Dhrubajyoti Samanta, Suryachandra A. Rao, Saji N. Hameed, Malay Ganai, Vishnu Thilakan, Medha Deshpande, Dachao Jin
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
A dry bias in climatological Central Indian rainfall plagues Indian summer monsoon (ISM) simulations in multiple generations of climate models. Here, using observations and regional climate modeling, we focus on a warm coastal Bay of Bengal sea surfa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94e12f5e9a816df805920545fc6388f7
https://pubmed.ncbi.nlm.nih.gov/30523266
https://pubmed.ncbi.nlm.nih.gov/30523266