Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Eugene R. Wahl is active.

Publication


Featured researches published by Eugene R. Wahl.


Journal of Climate | 2005

Testing the Fidelity of Methods Used in Proxy-Based Reconstructions of Past Climate

Michael E. Mann; Scott Rutherford; Eugene R. Wahl; Caspar M. Ammann

Abstract Two widely used statistical approaches to reconstructing past climate histories from climate “proxy” data such as tree rings, corals, and ice cores are investigated using synthetic “pseudoproxy” data derived from a simulation of forced climate changes over the past 1200 yr. These experiments suggest that both statistical approaches should yield reliable reconstructions of the true climate history within estimated uncertainties, given estimates of the signal and noise attributes of actual proxy data networks.


Journal of Geophysical Research | 2007

Robustness of proxy‐based climate field reconstruction methods

Michael E. Mann; Scott Rutherford; Eugene R. Wahl; Caspar M. Ammann

[1]xa0We present results from continued investigations into the fidelity of covariance-based climate field reconstruction (CFR) approaches used in proxy-based climate reconstruction. Our experiments employ synthetic “pseudoproxy” data derived from simulations of forced climate changes over the past millennium. Using networks of these pseudoproxy data, we investigate the sensitivity of CFR performance to signal-to-noise ratios, the noise spectrum, the spatial sampling of pseudoproxy locations, the statistical representation of predictors used, and the diagnostic used to quantify reconstruction skill. Our results reinforce previous conclusions that CFR methods, correctly implemented and applied to suitable networks of proxy data, should yield reliable reconstructions of past climate histories within estimated uncertainties. Our results also demonstrate the deleterious impact of a linear detrending procedure performed recently in certain CFR studies and illustrate flaws in some previously proposed metrics of reconstruction skill.


Journal of Climate | 2013

Last Millennium Climate and Its Variability in CCSM4

Laura Landrum; Bette L. Otto-Bliesner; Eugene R. Wahl; Andrew Conley; Peter J. Lawrence; Nan A. Rosenbloom; Haiyan Teng

AbstractAn overview of a simulation referred to as the “Last Millennium” (LM) simulation of the Community Climate System Model, version 4 (CCSM4), is presented. The CCSM4 LM simulation reproduces many large-scale climate patterns suggested by historical and proxy-data records, with Northern Hemisphere (NH) and Southern Hemisphere (SH) surface temperatures cooling to the early 1800s Common Era by ~0.5°C (NH) and ~0.3°C (SH), followed by warming to the present. High latitudes of both hemispheres show polar amplification of the cooling from the Medieval Climate Anomaly (MCA) to the Little Ice Age (LIA) associated with sea ice increases. The LM simulation does not reproduce La Nina–like cooling in the eastern Pacific Ocean during the MCA relative to the LIA, as has been suggested by proxy reconstructions. Still, dry medieval conditions over the southwestern and central United States are simulated in agreement with proxy indicators for these regions. Strong global cooling is associated with large volcanic erup...


Journal of Climate | 2015

Recent California Water Year Precipitation Deficits: A 440-Year Perspective*

Henry F. Diaz; Eugene R. Wahl

AbstractAn analysis of the October 2013–September 2014 precipitation in the western United States and in particular over the California–Nevada region suggests this anomalously dry season, while extreme, is not unprecedented in comparison with the approximately 120-yr-long instrumental record of water year (WY; October–September) totals and in comparison with a 407-yr WY precipitation reconstruction dating back to 1571. Over this longer period, nine other years are known or estimated to have been nearly as dry or drier than WY 2014. The 3-yr deficit for WYs 2012–14, which in California exceeded the annual mean precipitation, is more extreme but also not unprecedented, occurring three other times over the past approximate 440 years in the reconstruction. WY precipitation has also been deficient on average for the past 14 years, and such a run of predominantly dry WYs is also a rare occurrence in the authors’ merged reconstructed plus instrumental period record.


Journal of Climate | 2010

Comments on A Surrogate Ensemble Study of Climate Reconstruction Methods: Stochasticity and Robustness

Scott Rutherford; Michael E. Mann; Caspar M. Ammann; Eugene R. Wahl

Abstract In a recent paper, Christiansen et al. compared climate reconstruction methods using surrogate ensembles from a coupled general circulation model and pseudoproxies. Their results using the regularized expectation maximization method with truncated total least squares (RegEM-TTLS) appear inconsistent with previous studies. Results presented here show that the poor performance of RegEM-TTLS in Christiansen et al. is due to 1) their use of the nonhybrid method compared to the hybrid method; 2) a stagnation tolerance that is too large and does not permit the solution to stabilize, which is compounded in another paper by Christiansen et al. by the introduction of an inappropriate measure of stagnation; and 3) their use of a truncation parameter that is too large. Thus, the poor performance of RegEM-TTLS in both Christiansen et al. papers is due to poor implementation of the method rather than to shortcomings inherent to the method.


Journal of Geophysical Research | 2008

Reply to comment by Jason E. Smerdon et al. on “Robustness of proxy‐based climate field reconstruction methods”

Scott Rutherford; Michael E. Mann; Eugene R. Wahl; Caspar M. Ammann

[1] Smerdon et al. [2008] correctly conclude that the initial regridding method used by Mann et al. [2007] (hereafter M07) to map ECHO-g output to the resolution of surface observation data resulted in enhanced variability of the Northern Hemisphere (NH) mean series compared to the original model output (Figure 1a of Smerdon et al. [2008]). They also correctly conclude that the gridding method has no effect whatsoever on the conclusions of M07 because those conclusions were primarily based on results using the CSM model, and because the ECHO-g Figure 1. Results of experiments ‘‘y’’ (red line) and ‘‘z’’ (blue line) (a) from M07 and (b) using the regridding method described here. The use of the alternative regridding method does not change the results and conclusion of M07. JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 113, D18107, doi:10.1029/2008JD009964, 2008 Click Here for Full Article


Environmental Hazards | 2007

An ethical analysis of hydrometeorological prediction and decision making: The case of the 1997 Red River flood

Rebecca E. Morss; Eugene R. Wahl

Abstract Weather, climate, and flood predictions are incorporated into human decisions in a wide variety of situations, including decisions related to hazardous hydrometeorological events. This article examines ethical aspects of such predictions and decisions, focusing on the case of the 1997 Red River flood in Grand Forks, North Dakota and East Grand Forks, Minnesota (US). The analysis employs a formal ethical framework and analytical method derived from medical and business ethics. The results of the analysis highlight issues related to forecast generation, communication of forecast meaning and uncertainty, responsibility for the use of forecasts in decision making, and trade-offs between the desire for forecast certainty and the risk of missed events. Implications of the analysis for the broader arenas of weather, climate, and flood prediction and disaster management are also discussed.


Journal of Climate | 2013

Comments on “Erroneous Model Field Representations in Multiple Pseudoproxy Studies: Corrections and Implications”

Scott Rutherford; Michael E. Mann; Eugene R. Wahl; Caspar M. Ammann

Smerdonet al. reporttwo errorsin the climatemodel grid data used in previous pseudoproxy-basedclimate reconstruction experiments that do not impact the main conclusions of those works. The errors did not occur insubsequentworksandthereforehavenoimpactontheresultspresentedtherein.Resultspresentedherefor the Climate System Model (CSM) using multiple pseudoproxy noise realizations show that the quantitative differences between the incorrect and corrected results are within the expected variability of the noise realizations. It should also be made clear that the climate reconstruction method used in Smerdon et al. to illustrate the nature of the errors, the Regularized Expectation Maximization method with Ridge Regression (RegEM-Ridge), isknown to produce climate reconstructionswithconsiderable varianceloss andhas been superseded by RegEM-TTLS (TTLS indicates truncated total least squares).


Journal of Climate | 2017

Multicentury Evaluation of Recovery from Strong Precipitation Deficits in California

Eugene R. Wahl; Henry F. Diaz; Russell S. Vose; Wendy S. Gross

AbstractThe recent dryness in California was unprecedented in the instrumental record. This article employs spatially explicit precipitation reconstructions for California in combination with instrumental data to provide perspective on this event since 1571. The period 2012–15 stands out as particularly extreme in the southern Central Valley and south coast regions. which likely experienced unprecedented precipitation deficits over this time, apart from considerations of increasing temperatures and drought metrics that combine temperature and moisture information. Some areas lost more than two years’ average moisture delivery during these four years, and full recovery to long-term average moisture delivery could typically take up to several decades in the hardest-hit areas. These results highlight the value of the additional centuries of information provided by the paleo record, which indicates the shorter instrumental record may underestimate the statewide recovery time by over 30%. The extreme El Nino t...


Journal of Climate | 2016

A Five-Century Reconstruction of Hawaiian Islands Winter Rainfall

Henry F. Diaz; Eugene R. Wahl; Eduardo Zorita; Thomas W. Giambelluca; Jon Eischeid

AbstractFew if any high-resolution (annually resolved) paleoclimate records are available for the Hawaiian Islands prior to ~1850 CE, after which some instrumental records start to become available. This paper shows how atmospheric teleconnection patterns between North America and the northeastern North Pacific (NNP) allow for reconstruction of Hawaiian Islands rainfall using remote proxy information from North America. Based on a newly available precipitation dataset for the state of Hawaii and observed and reconstructed December–February (DJF) sea level pressures (SLPs) in the North Pacific Ocean, the authors make use of a strong relationship between winter SLP variability in the northeast Pacific and corresponding DJF Hawaii rainfall variations to reconstruct and evaluate that season’s rainfall over the period 1500–2012 CE. A general drying trend, though with substantial decadal and longer-term variability, is evident, particularly during the last ~160 years. Hawaiian Islands rainfall exhibits strong m...

Collaboration


Dive into the Eugene R. Wahl's collaboration.

Top Co-Authors

Avatar

Caspar M. Ammann

National Center for Atmospheric Research

View shared research outputs
Top Co-Authors

Avatar

Michael E. Mann

Pennsylvania State University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Henry F. Diaz

National Oceanic and Atmospheric Administration

View shared research outputs
Top Co-Authors

Avatar

Bette L. Otto-Bliesner

National Center for Atmospheric Research

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Andrew Conley

National Center for Atmospheric Research

View shared research outputs
Top Co-Authors

Avatar

Daniel E. Amrhein

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Esther C. Brady

National Center for Atmospheric Research

View shared research outputs
Researchain Logo
Decentralizing Knowledge