Daniel A Bishop
PhD Candidate
Lamont-Doherty Earth Observatory, Columbia University
Hydroclimatology - Global Change - Climate Impacts

About





I am a PhD Candidate at the Lamont-Doherty Earth Observatory at Columbia University. My primary research interests span hydroclimate variability, climate dynamics, forest ecology, and dendrochronology. From this diverse research background, I have experience working with observational climate and general circulation model data, as well as the quantitative and field methods of dendrochronology. My dissertation research considers the drivers of change in spatial and temporal hydroclimate, with an emphasis on dynamic and thermodynamic causes of decadal-to-centennial precipitation trends and variability over eastern North America.

For more, see Research
.



Technical Skills

  • Matlab
  • R
  • Python
  • Unix/Linux shell
  • Jupyter
  • ArcGIS
  • git


Research Interests

  • Hydroclimate
  • Bioclimatology
  • Remote sensing
  • Global change
  • Dendrochronology
  • Terrestrial carbon sequestration
  • Paleoclimatology


Education


Awards

  • NASA Earth and Space Science Fellow, 2017-
  • Columbia University Dean's Fellow, 2016
  • Northeastern States Research Cooperative Graduate Research Grant, 2013

Prior and Ongoing Research





Eastern US Hydroclimate

Over the past century, fall-season precipitation has increased by nearly 40% in the southeastern United States, outpacing seasonal hydroclimatic change across all regions in North America. My work seeks to identify the physical mechanism(s) that have generated this increase and evaluate the potential for this trend to continue into the future. To accomplish this, I incorporate instrumental observations, reanalyses, model simulations, and paleoclimate data to investigate the character of regional hydroclimatic trends and the methods of sub-seasonal moisture delivery into the region, explore dynamical connections to large-scale atmospheric circulation and moisture availability, and assess the degree to which model simulations can replicate observed change. This research will identify the dynamical foundations of century long hydroclimatic trends in the southeastern US, evaluate the role of anthropogenic contribution in a changing climate, and improve our understanding of climatic processes impacting water resources that will influence tens of millions of people across the US.

See: Bishop et al. 2019



Ecosystem Impacts

Understanding the impacts of human activity and climate variability is paramount to accurately predict change in climate-sensitive ecosystems. In prior work, I have investigated the impacts of changes in environmental stressors in terrestrial ecosystems. These projects assessed the drivers of regional growth decline of Adirondack sugar maple populations and mapped data uncertainty in regional climate products in the northeastern United States to better understand local and regional climate change. This knowledge helps improve our ability to predict ecosystem responses, assess vulnerabilities, and devise effective adaptation strategies.

See: Bishop et al. 2015, Bishop and Beier 2013



Tree Rings and Climate

How can tree rings improve our understanding of regional climate change? Tree rings provide a sub-seasonal to annual proxy of climate information over long timescales, which allows us to extend the observational record back in time. This allows us to evaluate the nature and impact of decadal-to-centennial low-frequency climate variability and trends. My research has primarily used this tool to evaluate seasonal and extreme hydroclimate across the eastern United States. In future work, I intend to evaluate the timescales of variability for a zonal dipole mode of summer soil moisture variability over North America.

See: Bishop and Pederson 2015

Selected Talks and Posters


Publications


Lead Author

17. Bishop DA, Williams AP, Seager R. 2019. Increased fall precipitation in the southeastern US driven by higher‐intensity, frontal precipitation. Geophysical Research Letters.
Media Coverage: AGU, Phys.org

16. Bishop DA, Williams AP, Seager R, Fiore AM, Cook BI, Mankin JS, Singh D, Smerdon JE, Rao MP. 2019. Investigating the causes of increased twentieth-century fall precipitation over the southeastern United States. Journal of Climate.

15. Bishop DA, Beier CM, Pederson N, Lawrence GB, Stella JC, Sullivan TJ. 2015. Regional growth decline of sugar maple (Acer saccharum) and potential causes. Ecosphere.
Media Coverage: WAMC Northeast Public Radio, Inside Science, Smithsonian, Popular Science, Albany Times Union, Syracuse Post-Standard, Modern Farmer, & more!

14. Bishop DA, Pederson N. 2015. Regional variation of transient precipitation and rainless-day frequency across a subcontinental hydroclimate gradient. Journal of Extreme Events.

13. Bishop DA, Beier CM. 2013. Assessing uncertainty in high-resolution spatial climate data across the US Northeast. PLoS ONE.


Co-Author

12. Williams AP, Abatzoglou JT, Gershunov A, Guzman‐Morales J, Bishop DA, Balch JK, Lettenmaier DP. 2019. Observed impacts of anthropogenic climate change on wildfire in California. Earth's Future.
Media Coverage: The Atlantic, CNN, CBS News, Washington Post, Inside Science, & more!

11. Alexander MR, Pearl JK, Bishop DA, Cook ER, Anchukaitis KJ, Pederson N. In press. The potential to strengthen temperature reconstructions in ecoregions with limited tree line using a multispecies approach. Quaternary Research.

10. Dye A, Alexander MR, Bishop DA, Druckenbrod D, Pederson N, Hessl A. 2019. Size-growth asymmetry is not consistently related to productivity across an eastern US temperate forest network. Oecologia.

9. Trotsiuk V, Pederson N, Druckenbrod DL, Orwig DA, Bishop DA, Barker-Plotkin A, Fraver S, Martin-Benito D. 2018. Testing the efficacy of tree-ring methods for detecting past disturbances. Forest Ecology and Management.

8. D’Orangeville L, Maxwell J, Kneeshaw D, Pederson N, Duchesne L, Logan T, Houle D, Arseneault D, Bishop DA, Beier CM, Druckenbrod D, Fraver S, Girard F, Halman J, Hansen C, Hart JL, Hartmann H, Kaye M, Leblanc D, Manzoni S, Rayback S, Rollinson C, Phillips RP. 2018. Drought timing and local climate determine the sensitivity of eastern temperate forests to drought. Global Change Biology.

7. Leland C, Cook ER, Andreu-Hayles L, Pederson N, Hessl A, Anchukaitis A, Byambasuren O, Baatarbileg N, Davi N, D’Arrigo R, Bishop DA, Rao MP. 2018. Strip-bark morphology and radial growth trends in ancient Pinus sibirica trees from central Mongolia. Journal of Geophysical Research: Biogeosciences.

6. Williams AP, Cook BI, Smerdon JE, Bishop DA, Seager R, Mankin JS. 2017. The 2016 southeastern US drought: an extreme departure from centennial wetting and cooling. Journal of Geophysical Research: Atmospheres.

5. Montane F, Fox AM, Arellano AF, MacBean N, Alexander MR, Dye A, Bishop DA, Trouet V, Babst F, Hessl AE, Pederson N, Blanken PD, Bohrer G, Gough CM, Litvak ME, Novick KA, Phillips RP, Wood JD, Moore DJP. 2017. Evaluating the effect of alternative carbon allocation schemes in a land surface model on carbon fluxes, pools and turnover in temperate forests. Geoscientific Model Development.

4. Rollinson CR, Liu Y, Raiho A, Moore DJ, McLachlan J, Bishop DA, Dye A, Matthes JH, Hessl A, Hickler T, Pederson N, Poulter B, Quaife T, Schaefer K, Steinkamp J, Dietze MC. 2017. Emergent climate and CO2 sensitivities of net primary productivity in ecosystem models do not agree with empirical data. Global Change Biology.

3. Dye A, Barker-Plotkin A, Bishop DA, Pederson N, Poulter B, Hessl AE. 2016. Comparing tree-ring and permanent plot estimates of aboveground net primary production in three eastern U.S. forests. Ecosphere.

2. Tipton J, Hooten MB, Tingley M, Pederson N, Bishop DA. 2016. Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models. Environmetrics.

1. Sullivan TJ, Lawrence GB, Bailey SW, McDonnell TC, Beier CM, Weathers KC, McPherson GT, Bishop DA. 2013. Effects of acidic deposition and soil acidification on sugar maple trees in the Adirondack Mountains, New York. Environmental Science and Technology.

CV