Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Paternina Q, María J"'
Publikováno v:
Earth Sciences Research Journal, Vol 15, Iss 2, Pp 109-114 (2011)
Descriptive statistical methods were used for improving climatic variability scenarios regarding rainfall using time series from five representative pluviometric stations (Miguel Valencia, Naranjal, Cenicafé, La Bella and Paraguaicito); such scenari
Externí odkaz:
https://doaj.org/article/3c7108efc5ac43bd84d14164dcd60364
Autor:
Boshell V. Francisco J., Peña Q. Andrés J ., Arce B. Blanca A., Paternina Q. María J., Ayarza M. Miguel A., Rojas B. Edwin O.
Publikováno v:
Agronomía Colombiana, Vol 29, Iss 2, Pp 275-285 (2011)
Recognizing the threat from climate change that is facing and will face agro ecosystems is the first step in determining adaptation to climate change. One way is through Global Climate Models (GCMs), but their spatial resolution is not best suited fo
Externí odkaz:
https://doaj.org/article/9d12f89e520449c3a41209c90956c356
Autor:
Peña Q, Andrés J, Arce B, Blanca A, Boshell V, J. Francisco, Paternina Q, María J, Ayarza M, Miguel A, Rojas B, Edwin O
Publikováno v:
Agronomía Colombiana, Volume: 29, Issue: 2, Pages: 467-478, Published: 01 JUN 2011
Recognizing the threat from climate change that is facing and will face agroecosystems is the first step in determining adaptation to climate change. One way is through Global Climate Models (GCMs), but their spatial resolution is not best suited for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______618::dbf54ff43b136b5f1c57733907d20646
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-99652011000200014&lng=en&tlng=en
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-99652011000200014&lng=en&tlng=en
Autor:
Boshell V., Francisco J., Peña Q., Andrés J ., Arce Barboza, Blanca Aurora, Paternina Q., María J., Ayarza M., Miguel A., Rojas B., Edwin O.
Publikováno v:
Agronomía Colombiana, Vol 29, Iss 2, Pp 275-285 (2011)
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Recognizing the threat from climate change that is facing and will face agro ecosystems is the first step in determining adaptation to climate change. One way is through Global Climate Models (GCMs), but their spatial resolution is not best suited fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::64ea69a833a38eb5f55f3aa3ee4c14f5
http://bdigital.unal.edu.co/20033/2/
http://bdigital.unal.edu.co/20033/2/
Publikováno v:
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Earth Sciences Research Journal, Vol 15, Iss 2, Pp 109-114 (2011)
Earth Sciences Research Journal, Volume: 15, Issue: 2, Pages: 109-114, Published: DEC 2011
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Earth Sciences Research Journal, Vol 15, Iss 2, Pp 109-114 (2011)
Earth Sciences Research Journal, Volume: 15, Issue: 2, Pages: 109-114, Published: DEC 2011
Descriptive statistical methods were used for improving climatic variability scenarios regarding rainfall using time series from five representative pluviometric stations (Miguel Valencia, Naranjal, Cenicafé, La Bella and Paraguaicito); such scenari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::12ad6da2ed359709dcd1bb29cadb255f
http://bdigital.unal.edu.co/29368/2/
http://bdigital.unal.edu.co/29368/2/