Articles | Volume 19, issue 16
https://doi.org/10.5194/bg-19-3843-2022
© 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/bg-19-3843-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Aug 2022
Research article |
| 24 Aug 2022
| 24 Aug 2022
Recent extreme drought events in the Amazon rainforest: assessment of different precipitation and evapotranspiration datasets and drought indicators
Technical University of Munich, TUM School of Life
Sciences, Freising, Germany
Christian S. Zang
Department of Forestry, Weihenstephan-Triesdorf University of Applied Sciences, Freising, Germany
Zlatan Angelov
Technical University of Munich, TUM School of Life
Sciences, Freising, Germany
Aline Anderson de Castro
Earth System Sciences Centre, National Institute for Spatial Research, São José dos Campos, São Paulo, Brazil
Juan Carlos Jimenez
GCU/IPL, University of Valencia, Valencia, Spain
Luiz Felipe Campos De Rezende
Earth System Sciences Centre, National Institute for Spatial Research, São José dos Campos, São Paulo, Brazil
Romina C. Ruscica
Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Centro de Investigaciones del Mar y la Atmósfera (CIMA), Universidad de Buenos Aires–CONICET, Buenos Aires, Argentina
Instituto Franco-Argentino para el Estudio del Clima y sus
Impactos (IRL 3351 IFAECI), CNRS–IRD–CONICET–UBA, Buenos Aires, Argentina
Boris Sakschewski
Potsdam Institute for Climate Impact Research (PIK), Leibniz Association, Telegrafenberg A31, Potsdam, Germany
Anna A. Sörensson
Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Centro de Investigaciones del Mar y la Atmósfera (CIMA), Universidad de Buenos Aires–CONICET, Buenos Aires, Argentina
Instituto Franco-Argentino para el Estudio del Clima y sus
Impactos (IRL 3351 IFAECI), CNRS–IRD–CONICET–UBA, Buenos Aires, Argentina
Kirsten Thonicke
Potsdam Institute for Climate Impact Research (PIK), Leibniz Association, Telegrafenberg A31, Potsdam, Germany
Carolina Vera
Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Centro de Investigaciones del Mar y la Atmósfera (CIMA), Universidad de Buenos Aires–CONICET, Buenos Aires, Argentina
Instituto Franco-Argentino para el Estudio del Clima y sus
Impactos (IRL 3351 IFAECI), CNRS–IRD–CONICET–UBA, Buenos Aires, Argentina
Nicolas Viovy
LSCE, CEA–CNRS–Université Paris-Saclay, Saclay, France
Celso Von Randow
Earth System Sciences Centre, National Institute for Spatial Research, São José dos Campos, São Paulo, Brazil
Anja Rammig
Technical University of Munich, TUM School of Life
Sciences, Freising, Germany
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Jenny Niebsch, Werner von Bloh, Kirsten Thonicke, and Ronny Ramlau
Geosci. Model Dev., 16, 17–33, https://doi.org/10.5194/gmd-16-17-2023, https://doi.org/10.5194/gmd-16-17-2023, 2023
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The impacts of climate change require strategies for climate adaptation. Dynamic global vegetation models (DGVMs) are used to study the effects of multiple processes in the biosphere under climate change. There is a demand for a better computational performance of the models. In this paper, the photosynthesis model in the Lund–Potsdam–Jena managed Land DGVM (4.0.002) was examined. We found a better numerical solution of a nonlinear equation. A significant run time reduction was possible.
Johannes Oberpriller, Christine Herschlein, Peter Anthoni, Almut Arneth, Andreas Krause, Anja Rammig, Mats Lindeskog, Stefan Olin, and Florian Hartig
Geosci. Model Dev., 15, 6495–6519, https://doi.org/10.5194/gmd-15-6495-2022, https://doi.org/10.5194/gmd-15-6495-2022, 2022
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Philippe Ciais, Ana Bastos, Frédéric Chevallier, Ronny Lauerwald, Ben Poulter, Josep G. Canadell, Gustaf Hugelius, Robert B. Jackson, Atul Jain, Matthew Jones, Masayuki Kondo, Ingrid T. Luijkx, Prabir K. Patra, Wouter Peters, Julia Pongratz, Ana Maria Roxana Petrescu, Shilong Piao, Chunjing Qiu, Celso Von Randow, Pierre Regnier, Marielle Saunois, Robert Scholes, Anatoly Shvidenko, Hanqin Tian, Hui Yang, Xuhui Wang, and Bo Zheng
Geosci. Model Dev., 15, 1289–1316, https://doi.org/10.5194/gmd-15-1289-2022, https://doi.org/10.5194/gmd-15-1289-2022, 2022
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Mats Lindeskog, Benjamin Smith, Fredrik Lagergren, Ekaterina Sycheva, Andrej Ficko, Hans Pretzsch, and Anja Rammig
Geosci. Model Dev., 14, 6071–6112, https://doi.org/10.5194/gmd-14-6071-2021, https://doi.org/10.5194/gmd-14-6071-2021, 2021
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Forests play an important role in the global carbon cycle and for carbon storage. In Europe, forests are intensively managed. To understand how management influences carbon storage in European forests, we implement detailed forest management into the dynamic vegetation model LPJ-GUESS. We test the model by comparing model output to typical forestry measures, such as growing stock and harvest data, for different countries in Europe.
Boris Sakschewski, Werner von Bloh, Markus Drüke, Anna Amelia Sörensson, Romina Ruscica, Fanny Langerwisch, Maik Billing, Sarah Bereswill, Marina Hirota, Rafael Silva Oliveira, Jens Heinke, and Kirsten Thonicke
Biogeosciences, 18, 4091–4116, https://doi.org/10.5194/bg-18-4091-2021, https://doi.org/10.5194/bg-18-4091-2021, 2021
Short summary
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This study shows how local adaptations of tree roots across tropical and sub-tropical South America explain patterns of biome distribution, productivity and evapotranspiration on this continent. By allowing for high diversity of tree rooting strategies in a dynamic global vegetation model (DGVM), we are able to mechanistically explain patterns of mean rooting depth and the effects on ecosystem functions. The approach can advance DGVMs and Earth system models.
Markus Drüke, Werner von Bloh, Stefan Petri, Boris Sakschewski, Sibyll Schaphoff, Matthias Forkel, Willem Huiskamp, Georg Feulner, and Kirsten Thonicke
Geosci. Model Dev., 14, 4117–4141, https://doi.org/10.5194/gmd-14-4117-2021, https://doi.org/10.5194/gmd-14-4117-2021, 2021
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In this study, we couple the well-established and comprehensively validated state-of-the-art dynamic LPJmL5 global vegetation model to the CM2Mc coupled climate model (CM2Mc-LPJmL v.1.0). Several improvements to LPJmL5 were implemented to allow a fully functional biophysical coupling. The new climate model is able to capture important biospheric processes, including fire, mortality, permafrost, hydrological cycling and the the impacts of managed land (crop growth and irrigation).
Gilvan Sampaio, Marília H. Shimizu, Carlos A. Guimarães-Júnior, Felipe Alexandre, Marcelo Guatura, Manoel Cardoso, Tomas F. Domingues, Anja Rammig, Celso von Randow, Luiz F. C. Rezende, and David M. Lapola
Biogeosciences, 18, 2511–2525, https://doi.org/10.5194/bg-18-2511-2021, https://doi.org/10.5194/bg-18-2511-2021, 2021
Short summary
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The impact of large-scale deforestation and the physiological effects of elevated atmospheric CO2 on Amazon rainfall are systematically compared in this study. Our results are remarkable in showing that the two disturbances cause equivalent rainfall decrease, though through different causal mechanisms. These results highlight the importance of not only curbing regional deforestation but also reducing global CO2 emissions to avoid climatic changes in the Amazon.
Maialen Iturbide, José M. Gutiérrez, Lincoln M. Alves, Joaquín Bedia, Ruth Cerezo-Mota, Ezequiel Cimadevilla, Antonio S. Cofiño, Alejandro Di Luca, Sergio Henrique Faria, Irina V. Gorodetskaya, Mathias Hauser, Sixto Herrera, Kevin Hennessy, Helene T. Hewitt, Richard G. Jones, Svitlana Krakovska, Rodrigo Manzanas, Daniel Martínez-Castro, Gemma T. Narisma, Intan S. Nurhati, Izidine Pinto, Sonia I. Seneviratne, Bart van den Hurk, and Carolina S. Vera
Earth Syst. Sci. Data, 12, 2959–2970, https://doi.org/10.5194/essd-12-2959-2020, https://doi.org/10.5194/essd-12-2959-2020, 2020
Short summary
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We present an update of the IPCC WGI reference regions used in AR5 for the synthesis of climate change information. This revision was guided by the basic principles of climatic consistency and model representativeness (in particular for the new CMIP6 simulations). We also present a new dataset of monthly CMIP5 and CMIP6 spatially aggregated information using the new reference regions and describe a worked example of how to use this dataset to inform regional climate change studies.
L. Cappelletti, A. Sörensson, R. Ruscica, M. M. Salvia, E. Jobbágy, S. Kuppel, and L. Fita
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W12-2020, 279–283, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-279-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-279-2020, 2020
Cited articles
Albergel, C., Dutra, E., Munier, S., Calvet, J.-C., Munoz-Sabater, J., de Rosnay, P., and Balsamo, G.: ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?, Hydrol. Earth Syst. Sci., 22, 3515–3532, https://doi.org/10.5194/hess-22-3515-2018, 2018.
Aragão, L. E. O. C., Malhi, Y., Roman-Cuesta, R. M., Saatchi, S.,
Anderson, L. O., and Shimabukuro, Y. E.: Spatial patterns and fire response
of recent Amazonian droughts, Geophys. Res. Lett., 34, L07701,
https://doi.org/10.1029/2006GL028946, 2007.
Avitabile, V., Herold, M., Heuvelink, G. B. M., Lewis, S. L., Phillips, O.
L., Asner, G. P., Armston, J., Ashton, P. S., Banin, L., Bayol, N., Berry,
N. J., Boeckx, P., Jong, B. H. J., DeVries, B., Girardin, C. A. J.,
Kearsley, E., Lindsell, J. A., Lopez-Gonzalez, G., Lucas, R., Malhi, Y.,
Morel, A., Mitchard, E. T. A., Nagy, L., Qie, L., Quinones, M. J., Ryan, C.
M., Ferry, S. J. W., Sunderland, T., Laurin, G. V., Gatti, R. C., Valentini,
R., Verbeeck, H., Wijaya, A., and Willcock, S.: An integrated pan-tropical
biomass map using multiple reference datasets, Glob. Change Biol., 22,
1406–1420, https://doi.org/10.1111/gcb.13139, 2016.
Barkhordarian, A., Saatchi, S. S., Behrangi, A., Loikith, P. C., and
Mechoso, C. R.: A Recent Systematic Increase in Vapor Pressure Deficit over
Tropical South America, Sci. Rep., 9, 15331, https://doi.org/10.1038/s41598-019-51857-8, 2019.
Blacutt, L. A., Herdies, D. L., de Gonçalves, L. G. G., Vila, D. A., and
Andrade, M.: Precipitation comparison for the CFSR, MERRA, TRMM3B42 and
Combined Scheme datasets in Bolivia, Atmos. Res., 163, 117–131,
https://doi.org/10.1016/j.atmosres.2015.02.002, 2015.
Burton, C., Rifai, S., and Malhi, Y.: Inter-comparison and assessment of
gridded climate products over tropical forests during the 2015/2016 El
Niño, Philos. T. Roy. Soc. B, 373, 20170406, https://doi.org/10.1098/rstb.2017.0406, 2018.
Cai, W., Santoso, A., Wang, G., Yeh, S.-W., An, S.-I., Cobb, K. M., Collins,
M., Guilyardi, E., Jin, F.-F., Kug, J.-S., Lengaigne, M., McPhaden, M. J.,
Takahashi, K., Timmermann, A., Vecchi, G., Watanabe, M., and Wu, L.: ENSO
and greenhouse warming, Nat. Clim. Change, 5, 849–859, https://doi.org/10.1038/nclimate2743, 2015.
Castro, A. O., Chen, J., Zang, C. S., Shekhar, A., Jimenez, J. C.,
Bhattacharjee, S., Kindu, M., Morales, V. H., and Rammig, A.: OCO-2
Solar-Induced Chlorophyll Fluorescence Variability across Ecoregions of the
Amazon Basin and the Extreme Drought Effects of El Niño (2015–2016),
12, 1202–1202, https://doi.org/10.3390/rs12071202, 2020.
Chaparro, D., Duveiller, G., Piles, M., Cescatti, A., Vall-llossera, M.,
Camps, A., and Entekhabi, D.: Sensitivity of L-band vegetation optical depth
to carbon stocks in tropical forests: a comparison to higher frequencies and
optical indices, Remote Sens. Environ., 232, 111303,
https://doi.org/10.1016/j.rse.2019.111303, 2019.
Climate Hazards Group: Climate Hazards Group Infrared Precipitation with Stations, Department of Geography, University of
California at Santa Barbara [data set], ftp://ftp.chg.ucsb.edu/pub/org/chg/products/CHIRPS-2.0/, last access: 5 November 2020.
Coelho, C. A. S., Cavalcanti, I. A. F., Costa, S. M. S., Freitas, S. R.,
Ito, E. R., Luz, G., Santos, A. F., Nobre, C. A., Marengo, J. A., and Pezza,
A. B.: Climate diagnostics of three major drought events in the Amazon and
illustrations of their seasonal precipitation predictions, Met. Apps, 19,
237–255, https://doi.org/10.1002/met.1324, 2012.
Compo, G. P., Sardeshmukh, P. D., Whitaker, J. S., Brohan, P., Jones, P. D.,
and McColl, C.: Independent confirmation of global land warming without the
use of station temperatures, Geophys. Res. Lett., 40, 3170–3174,
https://doi.org/10.1002/grl.50425, 2013.
Covey, C., Gleckler, P. J., Doutriaux, C., Williams, D. N., Dai, A.,
Fasullo, J., Trenberth, K., and Berg, A.: Metrics for the Diurnal Cycle of
Precipitation: Toward Routine Benchmarks for Climate Models, J. Climate, 29, 4461–447129, https://doi.org/10.1175/JCLI-D-15-0664.1, 2016.
da Rocha, H. R., Goulden, M. L., Miller, S. D., Menton, M. C., Pinto, L. D.
V. O., de Freitas, H. C., and e Silva Figueira, A. M.: SEASONALITY OF WATER
AND HEAT FLUXES OVER A TROPICAL FOREST IN EASTERN AMAZONIA, Ecol. Appl., 14, 22–32, https://doi.org/10.1890/02-6001, 2004.
Dirmeyer, P. A., Schlosser, C. A., and Brubaker, K. L.: Precipitation,
Recycling, and Land Memory: An Integrated Analysis, J. Hydrometeorol., 10, 278–288, https://doi.org/10.1175/2008JHM1016.1, 2009.
Dirmeyer, P. A., Cash, B. A., Kinter, J. L., Jung, T., Marx, L., Satoh, M.,
Stan, C., Tomita, H., Towers, P., Wedi, N., Achuthavarier, D., Adams, J. M.,
Altshuler, E. L., Huang, B., Jin, E. K., and Manganello, J.: Simulating the
diurnal cycle of rainfall in global climate models: resolution versus
parameterization, Clim. Dynam., 39, 399–418, https://doi.org/10.1007/s00382-011-1127-9, 2012.
Doblas-Reyes, F. J., Sorensson, A. A., Almazroui, M., Dosio, A., Gutowski,
W. J., Haarsma, R., Hamdi, R., Hewitson, B., Kwon, W.-T., Lamptey, B. L.,
Maraun, D., Stephenson, T. S., Takayabu, I., Terray, L., Turner, A., and
Zuo, Z.: Linking global to regional climate change, edited by:
Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Pean, C., Berger,
S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K.,
Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekci, O.,
Yu, R., and Zhou, B., in: Climate Change 2021: The Physical Science Basis, Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1363–1512, https://doi.org/10.1017/9781009157896.012, 2021.
Döll, P. and Lehner, B.: Validation of a new global 30-min drainage
direction map, J. Hydrol., 258, 214–231, https://doi.org/10.1016/S0022-1694(01)00565-0, 2002.
Espinoza, J. C., Sörensson, A. A., Ronchail, J., Molina-Carpio, J.,
Segura, H., Gutierrez-Cori, O., Ruscica, R., Condom, T., and
Wongchuig-Correa, S.: Regional hydro-climatic changes in the Southern Amazon
Basin (Upper Madeira Basin) during the 1982–2017 period, Journal of
Hydrology: Regional Studies, 26, 100637, https://doi.org/10.1016/j.ejrh.2019.100637, 2019.
Esquivel-Muelbert, A., Baker, T. R., Dexter, K. G., et al.: Compositional response of Amazon forests to climate
change, Glob. Change Biol., 25, 39–56, https://doi.org/10.1111/gcb.14413, 2019.
European Centre for Medium-Range Weather Forecasts: ERA5 [data set], https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5, last access: 3 March 2020.
Feldpausch, T. R., Phillips, O. L., Brienen, R. J. W., Gloor, E., Lloyd, J.,
Lopez-Gonzalez, G., Monteagudo-Mendoza, A., Malhi, Y., Alarcón, A.,
Álvarez Dávila, E., Alvarez-Loayza, P., Andrade, A., Aragao, L. E.
O. C., Arroyo, L., Aymard C., G. A., Baker, T. R., Baraloto, C., Barroso,
J., Bonal, D., Castro, W., Chama, V., Chave, J., Domingues, T. F., Fauset,
S., Groot, N., Honorio Coronado, E., Laurance, S., Laurance, W. F., Lewis,
S. L., Licona, J. C., Marimon, B. S., Marimon-Junior, B. H., Mendoza
Bautista, C., Neill, D. A., Oliveira, E. A., Oliveira dos Santos, C.,
Pallqui Camacho, N. C., Pardo-Molina, G., Prieto, A., Quesada, C. A.,
Ramírez, F., Ramírez-Angulo, H., Réjou-Méchain, M., Rudas,
A., Saiz, G., Salomão, R. P., Silva-Espejo, J. E., Silveira, M., ter
Steege, H., Stropp, J., Terborgh, J., Thomas-Caesar, R., van der Heijden, G.
M. F., Vásquez Martinez, R., Vilanova, E., and Vos, V. A.: Amazon forest
response to repeated droughts, Global Biogeochem. Cy., 30, 964–982,
https://doi.org/10.1002/2015GB005133, 2016.
Flack-Prain, S., Meir, P., Malhi, Y., Smallman, T. L., and Williams, M.: The importance of physiological, structural and trait responses to drought stress in driving spatial and temporal variation in GPP across Amazon forests, Biogeosciences, 16, 4463–4484, https://doi.org/10.5194/bg-16-4463-2019, 2019.
Forkel, M., Drüke, M., Thurner, M., Dorigo, W., Schaphoff, S., Thonicke,
K., von Bloh, W., and Carvalhais, N.: Constraining modelled global
vegetation dynamics and carbon turnover using multiple satellite
observations, Sci. Rep., 9, 18757, https://doi.org/10.1038/s41598-019-55187-7, 2019.
Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S.,
Husak, G., Rowland, J., Harrison, L., Hoell, A., and Michaelsen, J.: The
climate hazards infrared precipitation with stations – a new environmental
record for monitoring extremes, Sci. Data, 2, 150066,
https://doi.org/10.1038/sdata.2015.66, 2015.
Giardina, F., Konings, A. G., Kennedy, D., Alemohammad, S. H., Oliveira, R.
S., Uriarte, M., and Gentine, P.: Tall Amazonian forests are less sensitive
to precipitation variability, Nat. Geosci., 11, 405–409,
https://doi.org/10.1038/s41561-018-0133-5, 2018.
Giles, J. A., Ruscica, R. C., and Menéndez, C. G.: The diurnal cycle of
precipitation over South America represented by five gridded datasets, Int. J. Climatol., 40, 668–686, https://doi.org/10.1002/joc.6229, 2020.
Gloor, M., Barichivich, J., Ziv, G., Brienen, R., Schöngart, J., Peylin,
P., Ladvocat Cintra, B. B., Feldpausch, T., Phillips, O., and Baker, J.:
Recent Amazon climate as background for possible ongoing and future changes
of Amazon humid forests, Global Biogeochem. Cy., 29, 1384–1399,
https://doi.org/10.1002/2014GB005080, 2015.
Golian, S., Javadian, M., and Behrangi, A.: On the use of satellite, gauge,
and reanalysis precipitation products for drought studies, Environ. Res.
Lett., 14, 075005, https://doi.org/10.1088/1748-9326/ab2203, 2019.
Grossiord, C., Buckley, T. N., Cernusak, L. A., Novick, K. A., Poulter, B.,
Siegwolf, R. T. W., Sperry, J. S., and McDowell, N. G.: Plant responses to
rising vapor pressure deficit, New Phytol., 226, 1550–1566,
https://doi.org/10.1111/nph.16485, 2020.
Hadley Centre for Climate Prediction and Research: The WFDEI Meteorological Forcing Data, Met Office, Ministry
of Defence, United Kingdom [data set], ftp://rfdata:forceDATA@ftp.iiasa.ac.at, last access: 2 February 2019.
Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated
high-resolution grids of monthly climatic observations – the CRU TS3.10
Dataset, Int. J. Climatol., 34, 623–642, https://doi.org/10.1002/joc.3711, 2014.
Hobeichi, S.: Derived Optimal Linear Combination Evapotranspiration – DOLCE v3.0, ARC Centre of Excellence for Climate Extremes [data set], https://researchdata.edu.au/derived-optimal-linear-dolce-v30/1697055, last access: 1 March 2022.
Hobeichi, S., Abramowitz, G., Evans, J., and Ukkola, A.: Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate, Hydrol. Earth Syst. Sci., 22, 1317–1336, https://doi.org/10.5194/hess-22-1317-2018, 2018.
Hubau, W., Lewis, S. L., Phillips, O. L., et al.: Asynchronous carbon sink saturation in African and Amazonian tropical forests, Nature, 579, 80–87, https://doi.org/10.1038/s41586-020-2035-0, 2020.
Huffman, G. J., Bolvin, D. T., Nelkin, E. J., Wolff, D. B., Adler, R. F.,
Gu, G., Hong, Y., Bowman, K. P., and Stocker, E. F.: The TRMM Multisatellite
Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor
Precipitation Estimates at Fine Scales, J. Hydrometeorol., 8, 38–55,
https://doi.org/10.1175/JHM560.1, 2007.
Huffman, G. J. and Bolvin, D. T.: Tropical Rainfall Measurement Mission, Mesoscale
Atmospheric Processes Laboratory, NASA Goddard Space Flight Center [data set], https://disc.gsfc.nasa.gov/datasets/, last access: 5 March 2019.
Jiang, M., Medlyn, B. E., Drake, J. E., Duursma, R. A., Anderson, I. C.,
Barton, C. V. M., Boer, M. M., Carrillo, Y., Castañeda-Gómez, L.,
Collins, L., Crous, K. Y., De Kauwe, M. G., dos Santos, B. M., Emmerson, K.
M., Facey, S. L., Gherlenda, A. N., Gimeno, T. E., Hasegawa, S., Johnson, S.
N., Kännaste, A., Macdonald, C. A., Mahmud, K., Moore, B. D., Nazaries,
L., Neilson, E. H. J., Nielsen, U. N., Niinemets, Ü., Noh, N. J.,
Ochoa-Hueso, R., Pathare, V. S., Pendall, E., Pihlblad, J., Piñeiro, J.,
Powell, J. R., Power, S. A., Reich, P. B., Renchon, A. A., Riegler, M.,
Rinnan, R., Rymer, P. D., Salomón, R. L., Singh, B. K., Smith, B.,
Tjoelker, M. G., Walker, J. K. M., Wujeska-Klause, A., Yang, J., Zaehle, S.,
and Ellsworth, D. S.: The fate of carbon in a mature forest under carbon
dioxide enrichment, Nature, 580, 227–231, https://doi.org/10.1038/s41586-020-2128-9, 2020.
Jimenez, J. C., Barichivich, J., Mattar, C., Takahashi, K.,
Santamaría-Artigas, A., Sobrino, J. A., and Malhi, Y.: Spatio-temporal
patterns of thermal anomalies and drought over tropical forests driven by
recent extreme climatic anomalies, Philos. T. Roy. Soc. B, 373, 20170300,
https://doi.org/10.1098/rstb.2017.0300, 2018.
Jimenez, J. C., Marengo, J. A., Alves, L. M., Sulca, J. C., Takahashi, K.,
Ferrett, S., and Collins, M.: The role of ENSO flavours and TNA on recent
droughts over Amazon forests and the Northeast Brazil region, Int. J.
Climatol., 41, 3761–3780, https://doi.org/10.1002/joc.6453, 2019.
Jiménez-Muñoz, J. C., Mattar, C., Barichivich, J.,
Santamaría-Artigas, A., Takahashi, K., Malhi, Y., Sobrino, J. A., and van der Schrier, G.: Record-breaking warming and extreme drought in the
Amazon rainforest during the course of El Niño 2015–2016, Sci. Rep., 6,
33130, https://doi.org/10.1038/srep33130, 2016.
Kim, H.: Global Soil Wetness Project Phase 3 Atmospheric Boundary Conditions, Institute of Industrial Science, The University of Tokyo [data set], https://doi.org/10.20783/DIAS.501, 2017.
Koch, A., Hubau, W., and Lewis, S. L.: Earth System Models Are Not Capturing
Present-Day Tropical Forest Carbon Dynamics, Earth's Future, 9, e2020EF001874, https://doi.org/10.1029/2020EF001874, 2021.
Konings, A. G. and Gentine, P.: Global variations in ecosystem-scale
isohydricity, Glob. Change Biol., 23, 891–905, https://doi.org/10.1111/gcb.13389, 2017.
Lewis, S. L., Brando, P. M., Phillips, O. L., van der Heijden, G. M. F., and
Nepstad, D.: The 2010 Amazon Drought, Science, 331, 554–554,
https://doi.org/10.1126/science.1200807, 2011.
Malhi, Y., Roberts, J. T., Betts, R. A., Killeen, T. J., Li, W., and Nobre,
C. A.: Climate Change, Deforestation, and the Fate of the Amazon, Science,
319, 169–172, https://doi.org/10.1126/science.1146961, 2008.
Malhi, Y., Aragao, L. E. O. C., Galbraith, D., Huntingford, C., Fisher, R.,
Zelazowski, P., Sitch, S., McSweeney, C., and Meir, P.: Exploring the
likelihood and mechanism of a climate-change-induced dieback of the Amazon
rainforest, P. Natl. Acad. Sci. USA, 106, 20610–20615, https://doi.org/10.1073/pnas.0804619106, 2009.
Marengo, J. A. and Espinoza, J. C.: Extreme seasonal droughts and floods in
Amazonia: causes, trends and impacts: EXTREMES IN AMAZONIA, Int. J.
Climatol., 36, 1033–1050, https://doi.org/10.1002/joc.4420, 2016.
Marengo, J. A., Nobre, C. A., Tomasella, J., Cardoso, M. F., and Oyama, M.
D.: Hydro-climatic and ecological behaviour of the drought of Amazonia in
2005, Phil. T. Roy. Soc. B, 363, 1773–1778,
https://doi.org/10.1098/rstb.2007.0015, 2008a.
Marengo, J. A., Nobre, C. A., Tomasella, J., Oyama, M. D., Sampaio de
Oliveira, G., de Oliveira, R., Camargo, H., Alves, L. M., and Brown, I. F.:
The Drought of Amazonia in 2005, J. Climate, 21, 495–516,
https://doi.org/10.1175/2007JCLI1600.1, 2008b.
Marengo, J. A., Tomasella, J., Alves, L. M., Soares, W. R., and Rodriguez,
D. A.: The drought of 2010 in the context of historical droughts in the
Amazon region: DROUGHT AMAZON 2010, Geophys. Res. Lett., 38, L12703,
https://doi.org/10.1029/2011GL047436, 2011.
Martens, B., Miralles, D. G., Lievens, H., van der Schalie, R., de Jeu, R. A. M., Fernández-Prieto, D., Beck, H. E., Dorigo, W. A., and Verhoest, N. E. C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geosci. Model Dev., 10, 1903–1925, https://doi.org/10.5194/gmd-10-1903-2017, 2017.
Martens, B., Miralles, D. G., Lievens, H., van der
Schalie, R., de Jeu, R. A. M., Fernández-Prieto, D., Beck, H. E.,
Dorigo, W. A., and Verhoest, N. E. C.: GLEAM v3 [data set], https://www.gleam.eu/datasets, last access: 22 April 2019.
Miralles, D. G., Gentine, P., Seneviratne, S. I., and Teuling, A. J.:
Land-atmospheric feedbacks during droughts and heatwaves: state of the
science and current challenges: Land feedbacks during droughts and
heatwaves, Ann. NY Acad. Sci., 1436, 19–35, https://doi.org/10.1111/nyas.13912, 2019.
Muñoz-Sabater, J., Dutra, E., Balsamo, G., Boussetta, S., Zsoter, E.,
Albergel, C., and Agusti-Panareda, A.: ERA5-Land: an improved version of the
ERA5 reanalysis land component, Joint ISWG
and LSA-SAF Workshop IPMA, Lisbon, 26–28, 2018.
Nogueira, M.: Inter-comparison of ERA-5, ERA-interim and GPCP rainfall over
the last 40 years: Process-based analysis of systematic and random
differences, J. Hydrol., 583, 124632,
https://doi.org/10.1016/j.jhydrol.2020.124632, 2020.
Papastefanou, P.: Scripts for reproducing the analysis,
figures and tables of the bg-2020-425 study, Github [code],
https://github.com/PhillipPapastefanou/DroughtAnalysis (last access: 31 August 2022), 2021.
Phillips, O. L., Aragão, L. E. O. C., Lewis, S. L., Fisher, J. B.,
Lloyd, J., López-González, G., Malhi, Y., Monteagudo, A., Peacock,
J., Quesada, C. A., van der Heijden, G., Almeida, S., Amaral, I., Arroyo,
L., Aymard, G., Baker, T. R., Bánki, O., Blanc, L., Bonal, D., Brando,
P., Chave, J., de Oliveira, Á. C. A., Cardozo, N. D., Czimczik, C. I.,
Feldpausch, T. R., Freitas, M. A., Gloor, E., Higuchi, N., Jiménez, E.,
Lloyd, G., Meir, P., Mendoza, C., Morel, A., Neill, D. A., Nepstad, D.,
Patiño, S., Peñuela, M. C., Prieto, A., Ramírez, F., Schwarz,
M., Silva, J., Silveira, M., Thomas, A. S., Steege, H. ter, Stropp, J.,
Vásquez, R., Zelazowski, P., Dávila, E. A., Andelman, S., Andrade,
A., Chao, K.-J., Erwin, T., Di Fiore, A., C., E. H., Keeling, H., Killeen,
T. J., Laurance, W. F., Cruz, A. P., Pitman, N. C. A., Vargas, P. N.,
Ramírez-Angulo, H., Rudas, A., Salamão, R., Silva, N., Terborgh,
J., and Torres-Lezama, A.: Drought Sensitivity of the Amazon Rainforest,
Science, 323, 1344–1347, https://doi.org/10.1126/science.1164033, 2009.
Physical Sciences Laboratory: CRU – NCEP/NCAR Reanalysis, Boulder Colorado, https://crudata.uea.ac.uk/cru/data/ncep/, last access: 1 December 2020.
Rao, K., Anderegg, W. R. L., Sala, A., Martínez-Vilalta, J., and
Konings, A. G.: Satellite-based vegetation optical depth as an indicator of
drought-driven tree mortality, Remote Sens. Environ., 227, 125–136,
https://doi.org/10.1016/j.rse.2019.03.026, 2019.
Rifai, S. W., Li, S., and Malhi, Y.: Coupling of El Niño events and
long-term warming leads to pervasive climate extremes in the terrestrial
tropics, Environ. Res. Lett., 14, 105002, https://doi.org/10.1088/1748-9326/ab402f, 2019.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng,
C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin,
J. K., Walker, J. P., Lohmann, D., and Toll, D.: The Global Land Data
Assimilation System, B. Am. Meteorol. Soc., 85, 381–394,
https://doi.org/10.1175/BAMS-85-3-381, 2004.
Rodell, M. and the NASA Goddard Space Flight Center: Global Land Data Assimilation System [data set], https://ldas.gsfc.nasa.gov/gldas/forcing-data, last access: 1 December 2020.
Ruida, Z., Chen, X., Wang, Z., Lai, C., and Goddard, S.: Package scPDSI, https://github.com/Sibada/scPDSI,
2018.
Ruiz-Vásquez, M., Arias, P. A., Martínez, J. A., and Espinoza, J.
C.: Effects of Amazon basin deforestation on regional atmospheric
circulation and water vapor transport towards tropical South America, Clim.
Dynam., 54, 4169–4189, https://doi.org/10.1007/s00382-020-05223-4, 2020.
Saatchi, S. S., Harris, N. L., Brown, S., Lefsky, M., Mitchard, E. T. A.,
Salas, W., Zutta, B. R., Buermann, W., Lewis, S. L., Hagen, S., Petrova, S.,
White, L., Silman, M., and Morel, A.: Benchmark map of forest carbon stocks
in tropical regions across three continents, P. Natl. Acad. Sci. USA, 108, 9899–9904, https://doi.org/10.1073/pnas.1019576108, 2011.
Schaphoff, S., von Bloh, W., Rammig, A., Thonicke, K., Biemans, H., Forkel, M., Gerten, D., Heinke, J., Jägermeyr, J., Knauer, J., Langerwisch, F., Lucht, W., Müller, C., Rolinski, S., and Waha, K.: LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description, Geosci. Model Dev., 11, 1343–1375, https://doi.org/10.5194/gmd-11-1343-2018, 2018.
Schneider, U., Becker, A., Finger, P., Anja, M.-C., and Markus, Z.: GPCC
Full Data Monthly Version 2018.0 at 0.5∘: Monthly Land-Surface
Precipitation from Rain-Gauges built on GTS-based and Historic Data, Global Precipitation Climatology Centre (GPCC), Deutscher Wetterdienst [data set], https://doi.org/10.5676/DWD_GPCC/FD_M_V2018_050, 2018.
Schneider, U., Hänsel, S., Finger, P., Rustemeier, E.,
and Ziese, M.: GPCC Full Data Monthly Product Version 2022 [data set], https://opendata.dwd.de/climate_environment/GPCC/html/download_gate.html, last access: 2 March 2019.
Seiler, C., Hutjes, R. W. A., Kruijt, B., and Hickler, T.: The sensitivity
of wet and dry tropical forests to climate change in Bolivia, J. Geophys. Res.-Biogeo., 120, 399–413, https://doi.org/10.1002/2014JG002749, 2015.
Seto, S., Iguchi, T., and Meneghini, R.: Comparison of TRMM PR V6 and V7
focusing heavy rainfall, in: 2011 IEEE International Geoscience and Remote
Sensing Symposium, IGARSS 2011, Vancouver, BC, Canada, IEEE, 2582–2585,
https://doi.org/10.1109/IGARSS.2011.6049769, 2011.
Sheffield, J., Goteti, G., and Wood, E. F.: Development of a 50-Year
High-Resolution Global Dataset of Meteorological Forcings for Land Surface
Modeling, J. Climate, 19, 3088–3111, https://doi.org/10.1175/JCLI3790.1, 2006.
Smith, B., Wårlind, D., Arneth, A., Hickler, T., Leadley, P., Siltberg, J., and Zaehle, S.: Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model, Biogeosciences, 11, 2027–2054, https://doi.org/10.5194/bg-11-2027-2014, 2014.
Sörensson, A. A. and Ruscica, R. C.: Intercomparison and Uncertainty
Assessment of Nine Evapotranspiration Estimates Over South America, Water
Resour. Res., 54, 2891–2908, https://doi.org/10.1002/2017WR021682, 2018.
Staal, A., Fetzer, I., Wang-Erlandsson, L., Bosmans, J. H. C., Dekker, S.
C., van Nes, E. H., Rockström, J., and Tuinenburg, O. A.: Hysteresis of
tropical forests in the 21st century, Nat. Commun., 11, 4978,
https://doi.org/10.1038/s41467-020-18728-7, 2020.
Stephenson, N.: Actual evapotranspiration and deficit: biologically
meaningful correlates of vegetation distribution across spatial scales, J
Biogeogr., 25, 855–870, https://doi.org/10.1046/j.1365-2699.1998.00233.x, 1998.
Toomey, M., Roberts, D. A., Still, C., Goulden, M. L., and McFadden, J. P.:
Remotely sensed heat anomalies linked with Amazonian forest biomass
declines, Geophys. Res. Lett., 38, L19704,
https://doi.org/10.1029/2011GL049041, 2011.
van der Ent, R. J., Savenije, H. H. G., Schaefli, B., and Steele-Dunne, S.
C.: Origin and fate of atmospheric moisture over continents: ORIGIN AND FATE
OF ATMOSPHERIC MOISTURE, Water Resour. Res., 46, W09525, https://doi.org/10.1029/2010WR009127, 2010.
Viovy, N.: CRUNCEP Version 7 – Atmospheric Forcing Data for the Community
Land Model, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
[data set], Boulder, CO, https://doi.org/10.5065/PZ8F-F017, 2018.
von Randow, C., Manzi, A. O., Kruijt, B., de Oliveira, P. J., Zanchi, F. B.,
Silva, R. L., Hodnett, M. G., Gash, J. H. C., Elbers, J. A., Waterloo, M.
J., Cardoso, F. L., and Kabat, P.: Comparative measurements and seasonal
variations in energy and carbon exchange over forest and pasture in South
West Amazonia, Theor. Appl. Climatol., 78, 5–26,
https://doi.org/10.1007/s00704-004-0041-z, 2004.
Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. J., Blyth, E.,
Österle, H., Adam, J. C., Bellouin, N., Boucher, O., and Best, M.:
Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional
Reference Crop Evaporation over Land during the Twentieth Century, J. Hydrometeorol., 12, 823–848, https://doi.org/10.1175/2011JHM1369.1, 2011.
Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., and
Viterbo, P.: The WFDEI meteorological forcing data set: WATCH Forcing Data
methodology applied to ERA-Interim reanalysis data, Water Resour. Res., 50,
7505–7514, https://doi.org/10.1002/2014WR015638, 2014.
Wells, N., Goddard, S., and Hayes, M. J.: A Self-Calibrating Palmer Drought
Severity Index, J. Climate, 17, 2335–2351,
https://doi.org/10.1175/1520-0442(2004)017<2335:ASPDSI>2.0.CO;2, 2004.
Willmott, C. J., Rowe, C. M., and Philpot, W. D.: Small-Scale Climate Maps:
A Sensitivity Analysis of Some Common Assumptions Associated with Grid-Point
Interpolation and Contouring, Am. Cartographer, 12, 5–16,
https://doi.org/10.1559/152304085783914686, 1985.
Xu, X., Konings, A. G., Longo, M., Feldman, A., Xu, L., Saatchi, S., Wu, D.,
Wu, J., and Moorcroft, P.: Leaf surface water, not plant water stress,
drives diurnal variation in tropical forest canopy water content, New Phytol., 231, 122–136, https://doi.org/10.1111/nph.17254, 2021.
Yang, H., Piao, S., Zeng, Z., Ciais, P., Yin, Y., Friedlingstein, P., Sitch,
S., Ahlström, A., Guimberteau, M., Huntingford, C., Levis, S., Levy, P.
E., Huang, M., Li, Y., Li, X., Lomas, M. R., Peylin, P., Poulter, B., Viovy,
N., Zaehle, S., Zeng, N., Zhao, F., and Wang, L.: Multicriteria evaluation
of discharge simulation in Dynamic Global Vegetation Models, J. Geophys.
Res.-Atmos., 120, 7488–7505, https://doi.org/10.1002/2015JD023129, 2015.
Yang, Y., Saatchi, S. S., Xu, L., Yu, Y., Choi, S., Phillips, N., Kennedy,
R., Keller, M., Knyazikhin, Y., and Myneni, R. B.: Post-drought decline of
the Amazon carbon sink, Nat. Commun., 9, 3172,
https://doi.org/10.1038/s41467-018-05668-6, 2018.
Zang, C. S., Buras, A., Esquivel-Muelbert, A., Jump, A. S., Rigling, A., and
Rammig, A.: Standardized drought indices in ecological research: Why one
size does not fit all, Glob. Change Biol., 26, 322–324, https://doi.org/10.1111/gcb.14809, 2020.
Zemp, D. C., Schleussner, C.-F., Barbosa, H. M. J., van der Ent, R. J., Donges, J. F., Heinke, J., Sampaio, G., and Rammig, A.: On the importance of cascading moisture recycling in South America, Atmos. Chem. Phys., 14, 13337–13359, https://doi.org/10.5194/acp-14-13337-2014, 2014.
Zemp, D. C., Schleussner, C.-F., Barbosa, H. M. J., Hirota, M., Montade, V.,
Sampaio, G., Staal, A., Wang-Erlandsson, L., and Rammig, A.: Self-amplified
Amazon forest loss due to vegetation-atmosphere feedbacks, Nat. Commun., 8,
14681, https://doi.org/10.1038/ncomms14681, 2017.
Zeng, N., Yoon, J.-H., Marengo, J. A., Subramaniam, A., Nobre, C. A.,
Mariotti, A., and Neelin, J. D.: Causes and impacts of the 2005 Amazon
drought, Environ. Res. Lett., 3, 014002,
https://doi.org/10.1088/1748-9326/3/1/014002, 2008.
Ziese, M., Schneider, U., Meyer-Christoffer, A., Schamm, K., Vido, J., Finger, P., Bissolli, P., Pietzsch, S., and Becker, A.: The GPCC Drought Index – a new, combined and gridded global drought index, Earth Syst. Sci. Data, 6, 285–295, https://doi.org/10.5194/essd-6-285-2014, 2014.
Short summary
The Amazon rainforest has been hit by multiple severe drought events. In this study, we assess the severity and spatial extent of the extreme drought years 2005, 2010 and 2015/16 in the Amazon. Using nine different precipitation datasets and three drought indicators we find large differences in drought stress across the Amazon region. We conclude that future studies should use multiple rainfall datasets and drought indicators when estimating the impact of drought stress in the Amazon region.
The Amazon rainforest has been hit by multiple severe drought events. In this study, we assess...
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