Thursday, February 17, 2022
Lunchtime Talks on EXtreme Climate: Water & Climate Information Services for Society
Thursday, September 2, 2021
Weather and Information Services for agricultural adaptation
Smallholder farmers in developing countries are one of the populations most vulnerable to climate variability and extreme events. Climate Information Services (CIS) are increasingly regarded as an important option for agricultural adaptation. CIS compiles climate and weather information, translates it into user-friendly products and supports farmers’ decision-making. It is crucial to understand how to develop effective CIS and the extent to which farmers will accept it.
Spyridon Paparrizos of Wageningen University & Research, the
Netherlands, and colleagues initiated the WATERAPPS project and
co-developed it with farmers in Khulna District, Bangladesh, to build
resilience to climate variability. Furthermore, the researchers examine
the farmer’ willingness to pay (WTP) for CIS. With the contingent
valuation method, they find that local farmers are willing to pay
971–1,387 taka (1 USD = 85 taka). Notably, farmers previously exposed to
CIS development and training are more willing to pay for such products.
The researchers suggest that the government and private and social
entrepreneurs should all actively work with farmers to improve their
capacity to better use CIS. They will upscale the services so that they
are available to all of Bangladesh.
Citation: Yan, L. Information Services. Nat. Clim. Chang. 11, 719 (2021). https://doi.org/10.1038/s41558-021-01144-0
Read more at: https://www.nature.com/articles/s41558-021-01144-0
Original citation: Paparrizos, S., Kumar, U., Amjath-Babu, T.S. & Ludwig, F. 2021. Are farmers willing to pay for participatory climate information services? Insights from a case study in peri-urban Khulna, Bangladesh. Climate Services, 23, 100241.
Friday, February 22, 2019
Modeling global wetland methane emissions
Currently, process-based models are used to compute wetland extent and CH4 wetland fluxes based on soil carbon content, soil temperature, humidity, etc. but they can be time consuming and may require significant calibration effort.
We substitute these process-based models by a statistical model that can be easily implemented, operates efficiently, and reduces significantly the computation time using novel Machine Learning algorithms.
The algorithm is trained per Plant Functional Type and Koeppen-Geiger climate classification type (PFT+KG) using as dependent variable daily and monthly CH4 wetland emissions produced by ORCHIDEE-WET, while the explanatory (independent) climatological variables are obtained from the ERA5 climate re-analysis dataset.
Statistical evaluation criteria such as the Root Mean Squared Error (RMSE), and Mean Squared Deviation (MSD) that were implemented to evaluate model performance showed that the results from different ML algorithms present very good correlation each time during global modelling and specifically the random forest (RF) approach was able to simulate the results with great efficiency while operating on a daily timestep (R2 > 0.95).
Although the linear regression (MLR) approach showed very good correlation in higher northern latitudes (R2 > 0.96), it presents some discrepancies for the tropics (R2 > 0.88), where more complex approaches are required to simulate wetland methane emissions and are mainly captured by the random forest approach.
Soil temperature is the main driver for higher northern latitudes, while for the tropics and southern high latitudes soil moisture and surface pressure mostly affect the production of wetland methane emissions.
Tuesday, December 20, 2016
2017 Climate Journal Travel Award for Young Scientists
Full description of the Award can be found in Climate Journal.
Tuesday, November 29, 2016
New Publication: A downscaling technique for climatological data in areas with complex topography and limited data
Tuesday, October 25, 2016
New Publication: Assessment of future climate change impacts on the hydrological regime of selected Greek areas with different climate conditions
New Publication: Present and future assessment of growing degree days over selected Greek areas with different climate conditions
New Publication: Analysis and mapping of present and future response drought conditions over Greek areas with different climate conditions
Thursday, October 29, 2015
New Publication: Integrated analysis of present and futre response of precipitation over selected Greek areas with different climate conditions
Monday, May 4, 2015
Διαλέξεις στο Μεταπτυχιακό Πρόγραμμα Σπουδών ΔΔΠΦΠ - 08/05/2015 - Παπαρρίζος Σπυρίδων
Πρόγραμμα Διαλέξεων, 8/5/2015, ώρα 19:00 - 21:00, Εργαστήριο Διευθέτησης Ορεινών Υδάτων και Διαχείρισης Κινδύνου, Ορεστιάδα.
Tuesday, April 7, 2015
New Publication: ''Hydrological simulation of Sperchios River basin in Central Greece using the MIKE SHE model and geographic information systems''
Tuesday, January 20, 2015
Νέα Δημοσίευση: ''Spatial Data Infrastructures (SDIs) in Greece; An assessment of geoportals for carrying out hydrological projects
Τη δημοσίευση μπορείτε να την βρείτε εδώ.
Monday, August 4, 2014
Βιβλίο: Υδρογεωπληροφορική - Μοντελοποίηση και Πληροφοριακά Συστήματα Διαχείρισης Υδατικών Πόρων
Συγγραφείς: Φώτιος Μάρης, Σπυρίδων Παπαρρίζος, Γεώργιος Καρατζιός
Εκδόσεις Δισίγμα, Θεσσαλονίκη, ISBN: 978-960-9495-43-1
Περισσότερες πληροφορίες για το βιβλίο μπορείτε να βρείτε εδώ
Wednesday, June 11, 2014
Ομιλία του καθηγητή Βιομετεωρολογίας του Freiburg University Dr. Ματζαράκη Ανδρέα στην Ορεστιάδα 13 Ιουνίου 2014
Friday, June 6, 2014
To Google Street View στην Ελλάδα!
--> Καλές βόλτες! <--
Wednesday, June 4, 2014
5 Ιουνίου - Παγκόσμια Ημέρα Περιβάλλοντος
Monday, May 5, 2014
Νέα Δημοσίευση: Regional hazard analysis for use in vulnerability and risk assessment
Friday, January 3, 2014
Νέα Δημοσίευση: ESTIMATION AND COMPARISON OF POTENTIAL EVAPOTRANSPIRATION BASED ON DAILY AND MONTHLY DATA FROM SPERCHIOS VALLEY IN CENTRAL GREECE
2 Department of Forestry and Management of the Environment and Natural Resources Democritus University of Thrace, Pantazidou str. 192, GR-68 200, Orestiada, Greece
Την Δημοσίευση μπορείτε επίσης να την βρείτε στην Ενότητα Publications