Data: A reconstruction of global hydroclimate and dynamical variables over the Common Era
The Paleo Hydrodynamics Data Assimilation product (PHYDA) is the first global reconstruction of hydroclimate and associated dynamical variables. It uses a novel data assimilation method and the largest multiproxy database assembled to date by combining several community-complied proxy datasets. The reconstructions, code, and proxy data were all made public upon publication and are available through the NOAA NCEI data pages and through th
The Role of Vegetation in Past and Future Global Hydroclimatic Change
Vegetation plays an important role in hydroclimate through its influence on water and energy fluxes at the land surface. Vegetation will respond in potentially competing ways to changes in temperature, precipitation, and CO2 itself, creating uncertainty in projections of future hydroclimate. Accurately simulating and projecting hydroclimate in Earth System Models (ESMs) requires that their representations of vegetation are constrained and assessed.
Data: Contribution of anthropogenic warming to California drought during 2012-2014
Williams, A.P., R. Seager, J. Abatzoglou, B.I. Cook, J.E. Smerdon and E.R. Cook, 2015: Geophysical Research Letters, 42, 6819-6828, doi:10.1002/2015GL064924
Data: Model-Dependent Spatial Skill in Pseudoproxy Experiments Testing Climate Field Reconstruction Methods for the Common Era
Smerdon, J.E., S. Coats, and T. R. Ault, 2015: Climate Dynamics, 2684, doi: 10.1007/s00382-015-2684-0
Data: Global Warming and 21st Century Drying
Cook, B.I., J.E. Smerdon, R. Seager and S. Coats, 2014: Global warming and 21st century drying, Climate Dynamics, 43:2607-2627, DOI:10.1007/s00382-014-2075-y
Data: Comparative performance of paleoclimate field and index reconstructions derived from climate proxies and noise-only predictors
Wahl, E. R., and J.E. Smerdon, 2012: Comparative performance of paleoclimate field and index reconstructions derived from climate proxies and noise-only predictors, Geophysical Research Letters, 39, L06703, doi:10.1029/2012GL051086. [Auxiliary Materials].
Data: Erroneous Model Field Representations in Multiple Pseudoproxy Studies: Corrections and Implications
Smerdon, J.E., A. Kaplan and D. E. Amrhein, 2010: Erroneous Model Field Representations in Multiple Pseudoproxy Studies: Corrections and Implications, Journal of Climate, 23, 5548-5554, doi:10.1175/2010JCLI3742.1. (pdf)
Data: A pseudoproxy evaluation of the CCA and RegEM methods for reconstructing climate fields of the last millennium
Smerdon, J.E., A. Kaplan, D. Chang and M. N. Evans, 2010: A pseudoproxy evaluation of the CCA and RegEM methods for reconstructing climate fields of the last millennium, Journal of Climate, 23, 4856-4880, doi:10.1175/2010JCLI3328.1. (pdf)
Data: Comment on "Testing the Fidelity of Methods Used in Proxy-Based Reconstructions of Past Climate"
Smerdon, J.E. and A. Kaplan, 2007: 'Comment on "Testing the Fidelity of Methods Used in Proxy-Based Reconstructions of Past Climate": The role of the standardization interval.' by Mann et al., Journal of Climate, 20(22), 5666-5670 (pdf).
Data: Spatial Performance of Four Climate Field Reconstruction Methods Targeting the Common Era
Smerdon, J.E., A. Kaplan, E. Zorita, J. F. González-Rouco, and M. N. Evans, 2011: Spatial Performance of Four Climate Field Reconstruction Methods Targeting the Common Era, Geophysical Research Letters, 38, L11705, doi:10.1029/2011GL047372.