Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2921-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-2921-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
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03 Jun 2020
Research article | Highlight paper |
| 03 Jun 2020
| 03 Jun 2020
Comparing Palmer Drought Severity Index drought assessments using the traditional offline approach with direct climate model outputs
State Key Laboratory of Hydroscience and Engineering, Department of
Hydraulic Engineering, Tsinghua University, Beijing, China
Shulei Zhang
State Key Laboratory of Earth Surface Process and Resource Ecology,
School of Natural Resources, Faculty of Geographical Science, Beijing Normal
University, Beijing, China
Michael L. Roderick
Research School of Earth Sciences, Australian National University,
Canberra, ACT, Australia
Australian Research Council Centre of Excellence for Climate Extremes, Canberra, ACT, Australia
Tim R. McVicar
Australian Research Council Centre of Excellence for Climate Extremes, Canberra, ACT, Australia
CSIRO Land and Water, Canberra, ACT, Australia
Dawen Yang
State Key Laboratory of Hydroscience and Engineering, Department of
Hydraulic Engineering, Tsinghua University, Beijing, China
Wenbin Liu
Key Laboratory of Water Cycle and Related Land Surface Processes,
Institute of Geographic Sciences and Natural Resources Research, Chinese
Academy of Sciences, Beijing, China
Xiaoyan Li
State Key Laboratory of Earth Surface Process and Resource Ecology,
School of Natural Resources, Faculty of Geographical Science, Beijing Normal
University, Beijing, China
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Cited articles
Ainsworth, A. E. and Rogers, A.: The response of photosynthesis and
stomatal conductance to rising [CO2]: mechanisms and environmental
interactions, Plant Cell Environ., 30, 258–270, https://doi.org/10.1111/j.1365-3040.2007.01641.x, 2007.
Alkama, R., Marchand, L., Ribes, A., and Decharme, B.: Detection of global runoff changes: results from observations and CMIP5 experiments, Hydrol. Earth Syst. Sci., 17, 2967–2979, https://doi.org/10.5194/hess-17-2967-2013, 2013.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop
Evapotranspiration-guidelines for Computing Crop Water Requirements, FAQ
Irrigation and Drainage Paper 56, FAO, Rome, Italy, 300 pp., 1998.
Berg, A., Sheffield, J., and Milly, P. C. D.: Divergent surface and total
soil moisture projections under global warming, Geophys. Res. Lett., 44,
236–244, https://doi.org/10.1002/2016GL071921, 2017.
Cook, B. I., Smerdon, J. E., Seager, R., and Coats, S.: Global warming and
21st century drying, Clim. Dynam., 43, 2607–2627, https://doi.org/10.1007/s00382-014-2075-y, 2014.
Cook, B. I., Ault, T. R., and Smerdon, J. E.: Unprecedented 21st century
drought risk in the American Southwest and Central Plains Science, Advances,
1, e1400082, https://doi.org/10.1126/sciadv.1400082, 2015.
Dai, A.: Drought under global warming: a review, WIRES
Clim. Change, 2, 45–65, https://doi.org/10.1002/wcc.81, 2011.
Dai, A.: Increasing drought under global warming in observations and models,
Nat. Clim. Change, 3, 52–58, https://doi.org/10.1038/nclimate1633,
2012.
Dai, A., Zhao, T., and Chen, J.: Climate Change and Drought: a Precipitation
and Evaporation Perspective, Current Clim. Change Reports, 4, 301–312,
https://doi.org/10.1007/s40641-018-0101-6, 2018.
Donohue, R. J., Roderick, M. L., McVicar, T. R., and Farquhar, G. D.: Impact
of CO2 fertilization on maximum foliage cover across the globe's warm,
arid environments, Geophys. Res. Lett., 40, 3031–3035, https://doi.org/10.1002/grl.50563, 2013.
Greve, P., Roderick, L. R., and Seneviratne, S. I.: Simulated changes in
aridity from the last glacial maximum to 4×CO2, Environ. Res. Lett.,
12, 114021, https://doi.org/10.1088/1748-9326/aa89a3, 2017.
Hawkins, E., Ortega, P., Suckling, E., Schurer, A., Hegerl, G., Jones, P.,
Joshi, M., Osborn, T. J., Masson-Delmotte, V., Mignot, J., Thorne, P., and
van Oldenborgh, G. J.: Estimating Changes in Global Temperature since the
Preindustrial Period, B. Am. Meteorol. Soc., 98, 1841–1856, https://doi.org/10.1175/BAMS-D-16-0007.1, 2017.
Huang, J., Yu, H., Guan, X., Wang, G., and Guo, R.: Accelerated dryland
expansion under climate change, Nat. Clim. Change, 6, 166–171, https://doi.org/10.1038/nclimate2837, 2016.
Huang, J., Yu, H., Dai, A., Wei, Y., and Kang, L.: Drylands face potential
threat under 2 ∘C global warming target, Nat. Clim. Change, 7,
417–422, https://doi.org/10.1038/nclimate3275, 2017.
Jones, P. W.: First- and Second-Order Conservative Remapping Schemes for
Grids in Spherical Coordinates, Mon. Weather Rev., 127, 2204–2210,
https://doi.org/10.1175/1520-0493(1999)127<2204:FASOCR>2.0.CO;2, 1999.
Kumar, S., Lawrence, D. M., Dirmeyer, P. A., and Sheffield, J.: Less
reliable water availability in the 21st century climate projections,
Earth's Future, 2, 152–160, https://doi.org/10.1002/2013EF000159, 2014.
Labat, D., Goddéris, Y., Probst, J. L., and Guyot, J. L.: Evidence for
global runoff increase related to climate warming, Adv. Water Resour., 27,
631–642, https://doi.org/10.1016/j.advwatres.2004.02.020, 2014
Lawrence Livermore National Laboratory: CMIP5 project data, Department of Energy, available at: https://esgf-node.llnl.gov/search/cmip5/, last access: 2 June 2020.
Lian, X., Piao, S., Huntingford, C., Li, Y., Zeng, Z., Wang, X., Ciais, P.,
McVicar, T., Peng, S., Ottle, C., Yang, H., Yang, Y., Zhang, Y., and Wang,
T.: Partitioning global land evapotranspiration using CMIP5 models
constrained by observations, Nat. Clim. Change, 8, 640–646, https://doi.org/10.1038/s41558-018-0207-9, 2018.
Lehner, F., Coats, S., Stocker, T. F., Pendergrass, A. G., Sanderson, B. M.,
Raible, C. C., and Smerdon, J. E.: Projected drought risk in 1.5 ∘C and 2 ∘C warmer climates, Geophys. Res. Lett., 44, 7419–7428,
https://doi.org/10.1002/2017GL074117, 2017.
Lemordant, L., Gentine, P., Swann, A. S., Cook, B. I., and Scheff, J.:
Critical impact of vegetation physiology on the continental hydrologic cycle
in response to increasing CO2, P. Natl. Acad. Sci. USA, 115, 4093–4098,
https://doi.org/10.1073/pnas.1720712115, 2018.
Lin, C., Gentine, P., Huang, Y., Guan, K., Kimm, H., and Zhou, S.: Diel
ecosystem conductance response to vapor pressure deficit is suboptimal and
independent of soil moisture, Agr. Forest Meteorol., 15, 24–34, https://doi.org/10.1016/j.agrformet.2017.12.078, 2018.
Liu, W., Sun, F., Lim, W. H., Zhang, J., Wang, H., Shiogama, H., and Zhang, Y.: Global drought and severe drought-affected populations in 1.5 and 2 °C warmer worlds, Earth Syst. Dynam., 9, 267–283, https://doi.org/10.5194/esd-9-267-2018, 2018.
Milly, P. C. D. and Dunne, K. A.: Potential evapotranspiration and
continental drying, Nat. Clim. Change, 6, 946–949, https://doi.org/10.1038/nclimate3046, 2016.
Milly, P. C. D. and Dunne, K. A.: Hydrologic Drying Bias in Water-Resource
Impact Analyses of Anthropogenic Climate Change, J. Am. Water Resour.
Assoc., 53, 822–838, https://doi.org/10.1111/1752-1688.12538, 2017.
Naumann, G., Alfieri, L., Wyser, L., Mentaschi, L., Betts, R. A., Carrao,
H., Spinoni, J., Vogt, J., and Feyen, L.: Global Changes in Drought
Conditions under Different Levels of Warming, Geophys. Res. Lett., 45,
3285–3296, https://doi.org/10.1002/2017GL076521, 2018.
Novick, K. A., Ficklin, D. L., Stoy, P., Williams, C. A., Bohrer, G., Oishi,
A. C., Papuga, S. A., Blanken, P. D., Noormets, A., Sulman, B. N., Scott, R.
L. Wang, L., and Phillips, R. P.: The increasing importance of atmospheric
demand for ecosystem water and carbon fluxes, Nat. Clim. Change, 6,
1023–1027, https://doi.org/10.1038/nclimate3114, 2016.
Palmer, W. C.: Meteorological drought Research Paper No. 45, US Department
of Commerce Weather Bureau, Washington, D.C., USA, 58 pp., 1965.
Park, C.-E., Jeong, S., Joshi, M., Osborn, T. J., Ho, C. H., Piao, S.,
Chen, D., Liu, J., Yang, H., Park, H., Kim, B. M., and Feng, S.: Keeping
global warming within 1.5 ∘C constrains emergence of
aridification, Nat. Clim. Change, 8, 70–74, https://doi.org/10.1038/s41558-017-0034-4, 2018.
Roderick, M. L., Greve, P., and Farquhar, G. D.: On the assessment of
aridity with changes in atmospheric CO2, Water Resour Res., 51,
5450–5463, https://doi.org/10.1002/2015WR017031, 2015.
Samaniego, L., Thober, S., Kumar, R., Wanders, N., Rakovec, O., Pan, M.,
Zink, M., Sheffield, J., and Wood, E. F.: Anthropogenic warming exacerbates
European soil moisture droughts, Nat. Clim. Change, 8, 421–426, https://doi.org/10.1038/s41558-018-0138-5, 2018.
Scheff, J., Seager, R., Liu, H. B., and Coats, S.: Are glacials dry?
Consequences for paleoclimatology and for greenhouse warming, J. Climate, 30,
6593–6609, https://doi.org/10.1175/JCLI-D-16-0854.1, 2017.
Schleussner, C. F., Rogelj, J., Schaeffer, M., Lissner, T., Licker, R.,
Fischer, E. M., Knutti, R., Levermann, A., Frieler, K., and Hare, M.:
Science and policy characteristics of the Paris Agreement temperature goal,
Nat. Clim. Change, 6, 827–835, https://doi.org/10.1038/nclimate3096, 2016.
Sheffield, J., Wood, E. F., and Roderick, M. L.: Little change in global
drought over the past 60 years, Nature, 491, 435–438, https://doi.org/10.1038/nature11575, 2012.
Sherwood, S. and Fu, Q.: A drier future?, Science, 343, 737–739, https://doi.org/10.1126/science.1247620, 2014.
Shuttleworth, W. J.: Evaporation, in Handbook of Hydrology, edited by:
Maidment, D. R., McGraw-Hill Education, New York, USA, 98–144, 1993.
Sternberg, T.: Regional drought has a global impact, Nature, 472, p. 169,
https://doi.org/10.1038/472169d, 2011.
Swann, A. L. S., Hoffman, F. M., Koven, C. D., and Randerson, J. T.: Plant
responses to increasing CO2 reduce estimates of climate impacts on
drought severity, P. Natl. Acad. Sci. USA, 113, 10019–10024, https://doi.org/10.1073/pnas.1604581113, 2016.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and
the Experiment Design, B. Am. Meteorol. Soc., 93, 485–498, https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Trenberth, K. E., Dai, A., van der Schrier, G., Jones, P. D., Barichivich,
J., Briffa, K. R., and Sheffield, J.: Global warming and changes in drought,
Nat. Clim. Change, 4, 17–22, https://doi.org/10.1038/nclimate2067, 2014.
UNFCCC: Adoption of the Paris Agreement, Proposal by the President Report
No. FCCC/CP/2015/L.9, United Nations, Geneva, Switzerland, 2015.
Vicente-Serrano, S. M., Begueria, S., and Lopez-Moreno, J. I. A.: A
Multiscalar Drought Index Sensitive to Global Warming: The Standardized
Precipitation Evapotranspiration Index, J. Climate, 23, 1696–1718, https://doi.org/10.1175/2009JCLI2909.1, 2010.
Yang, Y. T., Zhang, S., McVicar, T. R., Beck, H. E., Zhang, Y. Q., and Liu,
B.: Disconnection between trends of atmospheric drying and continental
runoff, Water Resour. Res., 54, 4700–4713, https://doi.org/10.1029/2018WR022593, 2018.
Yang, Y. T., Roderick, M. L., Zhang, S., McVicar, T. R., and Donohue, R. J.:
Hydrologic implications of vegetation response to elevated CO2 in
climate projections, Nat. Clim. Change, 9, 44–48, https://doi.org/10.1038/s41558-018-0361-0, 2019.
Zhang, Y. Q., Peña-Arancibia, J., McVicar, T., Chiew, F., Vaze, J., Liu,
C., Lu, X., Zheng, H., Wang, Y., Liu, Y., Miralles, M., and Pan, M.:
Multi-decadal trends in global terrestrial evapotranspiration and its
components, Sci. Rep., 6, 19124, https://doi.org/10.1038/srep19124, 2016.
Zhu, Z., Piao, S., Myneni, R. B., Huang, M., Zeng, Z., Canadell, J. G.,
Ciais, P., Sitch, S., Friedlingstein, P., Arneth, A., Cao, C., Cheng, L.,
Kato, E., Koven, C., Li, Y., Lian, X., Liu, Y., Liu, R., Mao, J., Pan, Y.,
Peng, S., Peñuelas, J., Poulter, B., Pugh, T., Stocker, B. D., Viovy,
N., Wang, X., Wang, Y., Xiao, Z., Yang, H., Zaehle, S., and Zeng N.: Greening of
the earth and its drivers, Nat. Clim. Change, 6, 791–795, https://doi.org/10.1038/nclimate3004, 2016.
zslthu: zslthu/Calculate-PDSI-in-Matlab: Calculate-PDSI-in-Matlab (Version v1.0.0), Zenodo, https://doi.org/10.5281/zenodo.3871420, 2020.
Short summary
Many previous studies using offline drought indices report that future warming will increase worldwide drought. However, this contradicts observations/projections of vegetation greening and increased runoff. We resolved this paradox by re-calculating the same drought indices using direct climate model outputs and find no increase in future drought as the climate warms. We also find that accounting for the impact of CO2 on plant transpiration avoids the previous overestimation of drought.
Many previous studies using offline drought indices report that future warming will increase...
