Articles | Volume 22, issue 11
https://doi.org/10.5194/nhess-22-3737-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-3737-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Analysis of the relationship between yield in cereals and remotely sensed fAPAR in the framework of monitoring drought impacts in Europe
Carmelo Cammalleri
CORRESPONDING AUTHOR
European Commission, Joint Research Centre (JRC), 21027 Ispra (VA), Italy
now at: Dipartimento di Ingegneria Civile e Ambiente (DICA), Politecnico di Milano, 20133 Milan, Italy
Niall McCormick
European Commission, Joint Research Centre (JRC), 21027 Ispra (VA), Italy
Andrea Toreti
European Commission, Joint Research Centre (JRC), 21027 Ispra (VA), Italy
Related authors
Giorgio Baiamonte, Carmelo Agnese, Carmelo Cammalleri, Elvira Di Nardo, Stefano Ferraris, and Tommaso Martini
Adv. Stat. Clim. Meteorol. Oceanogr., 10, 51–67, https://doi.org/10.5194/ascmo-10-51-2024, https://doi.org/10.5194/ascmo-10-51-2024, 2024
Short summary
Short summary
In hydrology, the probability distributions are used to determine the probability of occurrence of rainfall events. In this study, two different methods for modeling rainfall time characteristics have been applied: a direct method and an indirect method that make it possible to relax the assumptions of the renewal process. The analysis was extended to two additional time variables that may be of great interest for practical hydrological applications: wet chains and dry chains.
Carmelo Cammalleri, Carlo De Michele, and Andrea Toreti
Hydrol. Earth Syst. Sci., 28, 103–115, https://doi.org/10.5194/hess-28-103-2024, https://doi.org/10.5194/hess-28-103-2024, 2024
Short summary
Short summary
Precipitation and soil moisture have the potential to be jointly used for the modeling of drought conditions. In this research, we analysed how their statistical inter-relationship varies across Europe. We found some clear spatial patterns, especially in the so-called tail dependence (which measures the strength of the relationship for the extreme values). The results suggest that the tail dependence needs to be accounted for to correctly assess the value of joint modeling for drought.
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, https://doi.org/10.5194/nhess-22-2201-2022, 2022
Short summary
Short summary
Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach.
Brunella Bonaccorso, Carmelo Cammalleri, Athanasios Loukas, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 1857–1862, https://doi.org/10.5194/nhess-22-1857-2022, https://doi.org/10.5194/nhess-22-1857-2022, 2022
Carmelo Cammalleri, Carolina Arias-Muñoz, Paulo Barbosa, Alfred de Jager, Diego Magni, Dario Masante, Marco Mazzeschi, Niall McCormick, Gustavo Naumann, Jonathan Spinoni, and Jürgen Vogt
Nat. Hazards Earth Syst. Sci., 21, 481–495, https://doi.org/10.5194/nhess-21-481-2021, https://doi.org/10.5194/nhess-21-481-2021, 2021
Short summary
Short summary
Building on almost ten years of expertise and operational application of the Combined Drought Indicator (CDI) for the monitoring of agricultural droughts in Europe within the European Commission's European Drought Observatory (EDO), this paper proposes a revised version of the index. This paper shows that the proposed revised CDI reliably reproduces the evolution of major droughts, outperforming the current version of the indicator, especially for long-lasting events.
Carmelo Cammalleri, Gustavo Naumann, Lorenzo Mentaschi, Bernard Bisselink, Emiliano Gelati, Ad De Roo, and Luc Feyen
Hydrol. Earth Syst. Sci., 24, 5919–5935, https://doi.org/10.5194/hess-24-5919-2020, https://doi.org/10.5194/hess-24-5919-2020, 2020
Short summary
Short summary
Climate change is anticipated to alter the demand and supply of water at the earth's surface. This study shows how hydrological droughts will change across Europe with increasing global warming levels, showing that at 3 K global warming an additional 11 million people and 4.5 ×106 ha of agricultural land will be exposed to droughts every year, on average. These effects are mostly located in the Mediterranean and Atlantic regions of Europe.
Juan C. Acosta Navarro, Alvise Aranyossy, Paolo De Luca, Markus G. Donat, Arthur Hrast Essenfelder, Rashed Mahmood, Andrea Toreti, and Danila Volpi
Earth Syst. Dynam., 16, 1723–1737, https://doi.org/10.5194/esd-16-1723-2025, https://doi.org/10.5194/esd-16-1723-2025, 2025
Short summary
Short summary
A computationally inexpensive climate model analog method yields skillful climate predictions across timescales, from seasons to multiple years, complementing existing climate prediction systems and potentially providing valuable information for sectors like agriculture and energy.
Roland Baatz, Gohar Ghazaryan, Michael Hagenlocher, Claas Nendel, Andrea Toreti, and Ehsan Eyshi Rezaei
Hydrol. Earth Syst. Sci., 29, 1379–1393, https://doi.org/10.5194/hess-29-1379-2025, https://doi.org/10.5194/hess-29-1379-2025, 2025
Short summary
Short summary
Our global review of 130 000 peer-reviewed articles reveals that drought forecasting and plant genetics dominate drought research priorities. Using topic modelling, we traced evolving themes from 1901 to 2022, highlighting a shift from ecology to cutting-edge technologies. By applying unsupervised machine learning, we offer insights into how integrated approaches matter, guiding future priorities to strengthen drought resilience and to safeguard water resources.
Giorgio Baiamonte, Carmelo Agnese, Carmelo Cammalleri, Elvira Di Nardo, Stefano Ferraris, and Tommaso Martini
Adv. Stat. Clim. Meteorol. Oceanogr., 10, 51–67, https://doi.org/10.5194/ascmo-10-51-2024, https://doi.org/10.5194/ascmo-10-51-2024, 2024
Short summary
Short summary
In hydrology, the probability distributions are used to determine the probability of occurrence of rainfall events. In this study, two different methods for modeling rainfall time characteristics have been applied: a direct method and an indirect method that make it possible to relax the assumptions of the renewal process. The analysis was extended to two additional time variables that may be of great interest for practical hydrological applications: wet chains and dry chains.
Carmelo Cammalleri, Carlo De Michele, and Andrea Toreti
Hydrol. Earth Syst. Sci., 28, 103–115, https://doi.org/10.5194/hess-28-103-2024, https://doi.org/10.5194/hess-28-103-2024, 2024
Short summary
Short summary
Precipitation and soil moisture have the potential to be jointly used for the modeling of drought conditions. In this research, we analysed how their statistical inter-relationship varies across Europe. We found some clear spatial patterns, especially in the so-called tail dependence (which measures the strength of the relationship for the extreme values). The results suggest that the tail dependence needs to be accounted for to correctly assess the value of joint modeling for drought.
Juan Camilo Acosta Navarro and Andrea Toreti
Weather Clim. Dynam., 4, 823–831, https://doi.org/10.5194/wcd-4-823-2023, https://doi.org/10.5194/wcd-4-823-2023, 2023
Short summary
Short summary
Droughts and heatwaves have become some of the clearest manifestations of a changing climate. Near-term adaptation strategies can benefit from seasonal predictions, but these predictions still have limitations. We found that an intrinsic property of multi-system forecasts can serve to better anticipate extreme high-temperature and low-precipitation events during boreal summer in several regions of the Northern Hemisphere with different levels of predictability.
Camille Labrousse, Wolfgang Ludwig, Sébastien Pinel, Mahrez Sadaoui, Andrea Toreti, and Guillaume Lacquement
Hydrol. Earth Syst. Sci., 26, 6055–6071, https://doi.org/10.5194/hess-26-6055-2022, https://doi.org/10.5194/hess-26-6055-2022, 2022
Short summary
Short summary
The interest of this study is to demonstrate that we identify two zones in our study area whose hydroclimatic behaviours are uneven. By investigating relationships between the hydroclimatic conditions in both clusters for past observations with the overall atmospheric functioning, we show that the inequalities are mainly driven by a different control of the atmospheric teleconnection patterns over the area.
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, https://doi.org/10.5194/nhess-22-2201-2022, 2022
Short summary
Short summary
Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach.
Brunella Bonaccorso, Carmelo Cammalleri, Athanasios Loukas, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 1857–1862, https://doi.org/10.5194/nhess-22-1857-2022, https://doi.org/10.5194/nhess-22-1857-2022, 2022
Carmelo Cammalleri, Carolina Arias-Muñoz, Paulo Barbosa, Alfred de Jager, Diego Magni, Dario Masante, Marco Mazzeschi, Niall McCormick, Gustavo Naumann, Jonathan Spinoni, and Jürgen Vogt
Nat. Hazards Earth Syst. Sci., 21, 481–495, https://doi.org/10.5194/nhess-21-481-2021, https://doi.org/10.5194/nhess-21-481-2021, 2021
Short summary
Short summary
Building on almost ten years of expertise and operational application of the Combined Drought Indicator (CDI) for the monitoring of agricultural droughts in Europe within the European Commission's European Drought Observatory (EDO), this paper proposes a revised version of the index. This paper shows that the proposed revised CDI reliably reproduces the evolution of major droughts, outperforming the current version of the indicator, especially for long-lasting events.
Carmelo Cammalleri, Gustavo Naumann, Lorenzo Mentaschi, Bernard Bisselink, Emiliano Gelati, Ad De Roo, and Luc Feyen
Hydrol. Earth Syst. Sci., 24, 5919–5935, https://doi.org/10.5194/hess-24-5919-2020, https://doi.org/10.5194/hess-24-5919-2020, 2020
Short summary
Short summary
Climate change is anticipated to alter the demand and supply of water at the earth's surface. This study shows how hydrological droughts will change across Europe with increasing global warming levels, showing that at 3 K global warming an additional 11 million people and 4.5 ×106 ha of agricultural land will be exposed to droughts every year, on average. These effects are mostly located in the Mediterranean and Atlantic regions of Europe.
Cited articles
Atzberger, C., Klisch, A., Mattiuzzi, M., and Vuolo, F.: Phenological metrics derived over the European continent from NDVI3g data and MODIS time series, Remote Sens.-Basel, 6, 257–284, https://doi.org/10.3390/rs6010257, 2014.
Bachmair, S., Tanguy, M., Hannaford, J., and Stahl, K.: How well do meteorological indicators represent agricultural and forest drought across Europe?, Environ. Res. Lett., 13, 034042, https://doi.org/10.1088/1748-9326/aaafda, 2018.
Barros, J. R. A., Guimaraes, M. J. M., Simões, W. L., de Melo, N. F., and Angelotti, F.: Water restriction in different phenological stages and increased temperature affect cowpea production, Agr. Sci., 45, 1–12, https://doi.org/10.1590/1413-7054202145022120, 2021.
Beillouin, D., Schauberger, B., Bastos, A., Ciais, P., and Makowski, D.: Impact of extreme weather conditions on European crop production in 2018, Philos. T. Roy. Soc. B, 375, 20190510, https://doi.org/10.1098/rstb.2019.0510, 2020.
Bogdan, O., Marinică, I., and Mic, L.-E.: Characteristics of the summer drought 2007 in Romania, Proceedings of the 2008 BALWOIS Conference, 27–31 May 2008, Ohrid, Republic of Macedonia, http://balwois.com/wp-content/uploads/old_proc/ffp-1075.pdf (last access: July 2021), 2008.
Brás, T. A., Seixas, J., Carvalhais, N., and Jägermeyr, J.: Severity of drought and heatwave crop losses tripled over the last five decades in Europe, Environ. Res. Lett., 16, 065012, https://doi.org/10.1088/1748-9326/abf004, 2021.
Brown, R. G. and Meyer, R. F.: The fundamental theory of exponential smoothing, Oper. Res., 9, 673–685, https://doi.org/10.1287/opre.9.5.673, 1961.
Buras, A., Rammig, A., and Zang, C. S.: Quantifying impacts of the 2018 drought on European ecosystems in comparison to 2003, Biogeosciences, 17, 1655–1672, https://doi.org/10.5194/bg-17-1655-2020, 2020.
Cammalleri, C., Naumann, G., Mentaschi, L., Bisselink, B., Gelati, E., De Roo, A., and Feyen, L.: Diverging hydrological drought traits over Europe with global warming, Hydrol. Earth Syst. Sci., 24, 5919–5935, https://doi.org/10.5194/hess-24-5919-2020, 2020.
Ceglar, A., Toreti, A., Zampieri, M., Manstretta, V., Bettati, T., and Bratu, M.: Clisagri: An R package for agro-climate services, Climate Serv., 20, 100197, https://doi.org/10.1016/j.cliser.2020.100197, 2020.
Chaves, M. M., Pereira, J. S., Maroco, J., Rodrigues, M. L., Ricardo, C. P. P., Osório, M. L., Carvalho, I., Faria, T., and Pinheiro, C.: How Plants Cope with Water Stress in the Field?, Photosynthesis and Growth, Ann. Bot.-London, 89, 907–916, https://doi.org/10.1093/aob/mcf105, 2002.
Crow, W. T., Kumar, S. V., and Bolten, J. D.: On the utility of land surface models for agricultural drought monitoring, Hydrol. Earth Syst. Sci., 16, 3451–3460, https://doi.org/10.5194/hess-16-3451-2012, 2012.
De Bono, A., Peduzzi, P., Kluser, S., Giuliani, G., and United Nations Environment Programme: Impacts of Summer 2003 Heat Wave in Europe, Environment Alert Bulletin, 2, 4, http://archive-ouverte.unige.ch/unige:32255 (last access: September 2022), 2004.
Demirevska, K., Zasheva, D., Dimitrov, R., Simova-Stoilova, L., Stamenova, M., and Feller, U.: Drought stress effects on Rubisco in wheat: changes in the Rubisco large subunit, Acta Physiol. Plant., 31, 1129–1138, https://doi.org/10.1007/s11738-009-0331-2, 2009.
Demuth, S.: Learning to live with drought in Europe, A World of Science, 7, 18–20, https://www.geo.uio.no/edc/downloads/ (last access: October 2022), 2009.
Dubrovský, M., Hayes, M., Duce, P., Trnka, M., Svoboda, M., and Zara, P.: Multi-GCM projections of future drought and climate variability indicators for the Mediterranean region, Reg. Environ. Change, 14, 1907–1919, https://doi.org/10.1007/s10113-013-0562-z, 2014.
EDO – European Drought Observatory: EDO Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Anomaly (MODIS) (version 1.3.2), European Commission, Joint Research Centre (JRC) [data set], http://data.europa.eu/89h/91a222a0-74fe-468f-b53a-b622aa1161cf (last access: Novmeber 2022), 2021.
Eurostat: Annual crop statistics: Handbook 2020 edition, 167 pp., https://ec.europa.eu/eurostat/cache/metadata/Annexes/apro_cp_esms_an1.pdf (last access: July 2021), 2020.
FAO – Food and Agriculture Organization of the United Nations: The impact of natural hazards and disasters on agriculture and food security and nutrition: A call for action to build resilient livelihoods, Rome, Italy, 16 pp., http://www.fao.org/3/i4434e/i4434e.pdf (last access: July 2021), 2015.
FAO – Food and Agriculture Organization of the United Nations: The impact of disasters and crises on agriculture and food security: 2021, Rome, Italy, 245 pp., https://doi.org/10.4060/cb3673en (last access: September 2022), 2021.
FAO – Food and Agriculture Organization of the United Nations, IFAD – International Fund for Agricultural Development, UNICEF – United Nations Children's Fund, WFP – World Food Programme, and WHO – World Health Organization: The State of Food Security and Nutrition in the World 2018, Building climate resilience for food security and nutrition, Rome, Italy, 202 pp., https://www.fao.org/3/I9553EN/i9553en.pdf (last access: December 2021), 2018.
García-Herrera, R., Paredes, D., Trigo, R. M., Trigo, I. F., Hernandez, H., Barriopedro, D., and Mendes, M. T.: The outstanding 2004–2005 drought in the Iberian Peninsula: associated atmospheric circulation, J. Hydrometeorol., 8, 483–498, https://doi.org/10.1175/JHM578.1, 2007.
García-Herrera, R., Garrido-Perez, J. M., Barriopedro, D., Ordóñez, C., Vicente-Serrano, S. M., Nieto, R., Gimeno, L., Sorí, R., and Yiou, P.: The European 2016/17 Drought, J. Climate, 32, 3169–3187, https://doi.org/10.1175/JCLI-D-18-0331.1, 2019.
García-León, D., Contreras, S., and Hunink, J.: Comparison of meteorological and satellite-based indices as yield predictors of Spanish cereals, Agr. Water Manage., 213, 388–396, https://doi.org/10.1016/j.agwat.2018.10.030, 2019.
García-León, D., Standardi, G., and Staccione, A.: An integrated approach for the estimation of agricultural drought costs, Land Use Policy, 100, 104923, https://doi.org/10.1016/j.landusepol.2020.104923, 2021.
Gouveia, C., Trigo, R. M., and DaCamara, C. C.: Drought and vegetation stress monitoring in Portugal using satellite data, Nat. Hazards Earth Syst. Sci., 9, 185–195, https://doi.org/10.5194/nhess-9-185-2009, 2009.
Kang, W., Wang, T., and Liu, S.: The response of vegetation phenology and productivity to drought in semi-arid regions of northern China, Remote Sens.-Basel, 10, 727, https://doi.org/10.3390/rs10050727, 2018.
Knyazikhin, Y., Martonchik, Y. V., Myneni, R. B., Diner, D. J., and Running, S. W.: Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR Data, J. Geophys. Res., 103, 32257–32274, https://doi.org/10.1029/98JD02462, 1998.
Labudová, L., Labuda, M., and Takáč, J.: Comparison of SPI and SPEI applicability for drought impact assessment on crop production in the Danubian lowland and the East Slovakian lowland, Theor. Appl. Climatol., 128, 491–506, https://doi.org/10.1007/s00704-016-1870-2, 2017.
López-Lozano, R., Duveiller, G., Seguini, L., Meroni, M., García-Condado, S., Hooker, J., Leo, O., and Baruth, B.: Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level, Agric. Forest Meteorol., 206, 12–32, https://doi.org/10.1016/j.agrformet.2015.02.021, 2015.
Monteleone, B., Borzí, I., Bonaccorso, B., and Martina, M.: Developing stage-specific drought vulnerability curves for maize: The case study of the Po River basin, Agr. Water Manage., 269, 107713, https://doi.org/10.1016/j.agwat.2022.107713, 2022.
Myneni, R. B.: MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500 m SIN Grid V006, NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/modis/mod15a2h.006, 2015.
Potopová, V., Štepánek, P., Možný, M., Turoktt, L., and Soukup, J.: Performance of the standardized precipitation evapotranspiration index at various lags for agricultural drought risk assessment in the Czech Republic, Agric. Forest Meteorol., 202, 26–38, https://doi.org/10.1016/j.agrformet.2014.11.022, 2015.
Rebetez, M., Mayer, H., Dupont, O., Schindler, D., Gartner, K., Kropp, J. P., and Menzel, A.: Heat and drought 2003 in Europe: A climate synthesis, Ann. For. Sci., 63, 569–577, https://doi.org/10.1051/forest:2006043, 2006.
Rembold, F., Meroni, M., Urbano, F., Csak, G., Kerdiles, H., Perez-Hoyos, A., Lemoine, G., Leo, O., and Negre, T.: ASAP: A new global early warning system to detect anomaly hot spots of agricultural production for food security analysis, Agr. Syst., 168, 247–257, https://doi.org/10.1016/j.agsy.2018.07.002, 2019.
Rojas, O., Vrieling, A., and Rembold, F.: Assessing drought probability for agricultural areas in Africa with coarse resolution remote sensing imagery, Remote Sens. Environ., 115, 343–352, https://doi.org/10.1016/j.rse.2010.09.006, 2011.
Rossi, S., Weissteiner, C., Laguardia, G., Kurnik, B., Robustelli, M., Niemeyer, S., and Gobron, N.: Potential of MERIS fAPAR for drought detection, in: Proceedings of the 2nd MERIS/(A)ATSR User Workshop, ESA SP-666, edited by: Lacoste, H. and Ouwehand, L., 6. Frascati, Italy, ESA Communication Production Office, https://www.researchgate.net/profile/Christof-Weissteiner/publication/228417050_Potential_of_MERIS_fAPAR_for_drought_detection/links/00b49518362dcb5b6d000000/Potential-of-MERIS-fAPAR-for-drought-detection.pdf
(last access: November 2022), 2008.
Rötzer, T. and Chmielewski, F. M.: Phenological maps of Europe, Clim. Res., 18, 249–257, https://doi.org/10.3354/cr018249, 2001.
Sassenrath, G. F., Schneider, J. M., Gaj, R., Grzebisz, W., and Halloran, J. M.: Nitrogen balance as an indicator of environmental impact: Toward sustainable agricultural production, Renew. Agr. Food Syst., 28, 276–289, https://doi.org/10.1017/S1742170512000166, 2012.
Sima, M., Popovici, E.-A., Bălteanu, D., Micu, D. A., Kucsicsa, G., Dragotă, C., and Grigorescu, I.: A farmer-based analysis of climate change adaptation options of agriculture in the Bărăgan Plain, Romania, Earth Perspect., 2, 5, https://doi.org/10.1186/s40322-015-0031-6, 2015.
Somorowska, U.: Changes in drought conditions in Poland over the past 60 years evaluated by the Standardized Precipitation-Evapotranspiration Index, Acta Geophys., 64, 2530–2549, https://doi.org/10.1515/acgeo-2016-0110, 2016.
Spinoni, J., Naumann, G., Vogt, J. V., and Barbosa, P.: The biggest drought events in Europe from 1950 to 2012, J. Hydrol. Reg. Studies, 3, 509–524, https://doi.org/10.1016/j.ejrh.2015.01.001, 2015.
Stahl, K., Kohn, I., Blauhut, V., Urquijo, J., De Stefano, L., Acácio, V., Dias, S., Stagge, J. H., Tallaksen, L. M., Kampragou, E., Van Loon, A. F., Barker, L. J., Melsen, L. A., Bifulco, C., Musolino, D., de Carli, A., Massarutto, A., Assimacopoulos, D., and Van Lanen, H. A. J.: Impacts of European drought events: insights from an international database of text-based reports, Nat. Hazards Earth Syst. Sci., 16, 801–819, https://doi.org/10.5194/nhess-16-801-2016, 2016.
Stallmann, J., Schweiger, R., Pons, C. A. A., and Müller, C.: Wheat growth, applied water use efficiency and flag leaf metabolome under continuous and pulsed deficit irrigation, Sci. Rep.-UK, 10, 10112, https://doi.org/10.1038/s41598-020-66812-1, 2020.
Tadesse, T., Senay, G. B., Berhan, G., Regassa, T., and Beyene, S.: Evaluating a satellite-based seasonal evapotranspiration product and identifying its relationship with other satellite-derived products and crop yield: a case study for Ethiopia, Int. J. Appl. Earth Obs., 40, 39–54, https://doi.org/10.1016/j.jag.2015.03.006, 2015.
Todisco, F., Vergni, L., and Mannocchi, F.: An evaluation of some drought indices in the monitoring and prediction of agricultural drought impact in central Italy, in: Irrigation in Mediterranean agriculture: challenges and innovation for the next decades, edited by: Santini, A., Lamaddalena, N., Severino, G., and Palladino, M., CIHEAM, Bari, 2008, 203–211, Options Méditerranéennes: Série A, Séminaires Méditerranéens, no. 84, http://om.ciheam.org/article.php?IDPDF=800967 (last access: July 2021), 2008.
Toreti, A., Belward, A., Perez-Dominguez, I., Naumann, G., Luterbacher, J., Cronie, O., Seguini, L., Manfron, G., Lopez-Lozano, R., Baruth, B., van den Berg, M., Dentener, F., Ceglar, A., Chatzopoulos, T., and Zampieri, M.: The Exceptional 2018 European Water Seesaw Calls for Action on Adaptation, Earths Future, 7, 652–663, https://doi.org/10.1029/2019EF001170, 2018.
United Nations Office for Disaster Risk Reduction: GAR Special Report on Drought 2021, Geneva, 210 pp., ISBN 9789212320274, https://www.undrr.org/publication/gar-special-report-drought-2021, last access: July 2021.
Valiukas, D.: Analysis of droughts and dry periods in Lithuania. Summary of Doctoral Dissertation, Vilnius University, 49 pp., https://epublications.vu.lt/object/elaba:8754330 (last access: July 2021), 2015.
van Hateren, T. C., Chini, M., Matgen, P., and Teuling, A. J.: Ambiguous agricultural drought: Characterising soil moisture and vegetation droughts in Europe from earth observation, Remote Sens.-Basel, 13, 1990, https://doi.org/10.3390/rs13101990, 2021.
Vicente-Serrano, S. M., Beguería, S., Lorenzo-Lacruz, J., Camarero, J. J., López-Moreno, J. I., Azorin-Molina, C., Revuelto, J., Morán-Tejeda, E., and Sanchez-Lorenzo, A.: Performance of drought indices for ecological, agricultural, and hydrological applications, Earth Interact., 16, 1–27, https://doi.org/10.1175/2012EI000434.1, 2012.
Wang, Y., Tian, Y., Zhang, Y., El-Saleous, N., Knyazikhin, Y., Vermote, E., and Myneni, R. B.: Investigation of product accuracy as a function of input and model uncertainties: Case study with SeaWiFS and MODIS LAI/FPAR algorithm, Remote Sens. Environ., 78, 296–311, https://doi.org/10.1016/S0034-4257(01)00225-5, 2001.
WMO – World Meteorological Organization and GWP – Global Water Partnership: Handbook of Drought Indicators and Indices, edited by: Svoboda, M. and Fuchs, B. A., Integrated Drought Management Programme (IDMP), Integrated Drought Management Tools and Guidelines Series 2, Geneva, 53 pp., ISBN 978-92-63-11173-9, 2016.
Yang, J., Wu, J., Liu, L., Zhou, H., Gong, A., Han, X., and Zhao, W.: Response of winter wheat to drought in the north China plain: spatial-temporal patterns and climate drivers, Water, 12, 3094, https://doi.org/10.3390/w12113094, 2020.
Zampieri, M., Ceglar, A., Dentener, F., and Toreti, A.: Wheat yield loss attributable to heat waves, drought and water excess at the global, national and subnational scales, Environ. Res. Lett., 12, 064008, https://doi.org/10.1088/1748-9326/aa723b, 2017.
Zscheischler, J., Orth, R., and Seneviratne, S. I.: A submonthly database for detecting changes in vegetation-atmosphere coupling, Geophys. Res. Lett., 42, 9816–9824, https://doi.org/10.1002/2015GL066563, 2015.
Short summary
We evaluated the ability of vegetation indices derived from satellite data to capture annual yield variations across Europe. The strength of the relationship varies throughout the year, with March–October representing the optimal period in most cases. Spatial differences were also observed, with the best results obtained in the Mediterranean regions.
We evaluated the ability of vegetation indices derived from satellite data to capture annual...
Altmetrics
Final-revised paper
Preprint