D. Hammerling

发表

Evaluating lossy data compression on climate simulation data within a large ensemble

Francesco De Simone, Dorit Hammerling, Peter Lindstrom, 2016, Geoscientific Model Development.

HAT CAN WE LEARN ABOUT CLIMATE MODEL RUNS FROM THEIR CAUSAL SIGNATURES ?

I. Ebert‐Uphoff, A. Baker, D. Hammerling, 2015 .

A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets

D. Nychka, S. Sain, F. Lindgren, 2015 .

Methods for Analyzing Large Spatial Data: A Review and Comparison

Douglas W. Nychka, Dorit Hammerling, Finn Lindgren, 2017 .

Combining interdependent climate model outputs in CMIP5: A spatial Bayesian approach

Richard L. Smith, D. Hammerling, B. Li, 2019, 2001.00074.

ENSEMBLE CONSISTENCY TESTING USING CAUSAL CONNECTIVITY

I. Ebert‐Uphoff, A. Baker, D. Hammerling, 2018 .

Climate Change Detection and Attribution

Richard L. Smith, M. Katzfuss, D. Hammerling, 2017 .

On the Ability of Space‐Based Passive and Active Remote Sensing Observations of CO2 to Detect Flux Perturbations to the Carbon Cycle

S. Doney, B. Moore, E. Browell, 2018 .

Detectability of CO2 flux signals by a space‐based lidar mission

S. Doney, K. Schaefer, A. Michalak, 2015 .

Global Atmospheric CO2 Distributions from Satellite Observations.

D. Hammerling, 2012 .

Mapping of CO2 at high spatiotemporal resolution using satellite observations: Global distributions from OCO‐2

Dorit Hammerling, S. Randolph Kawa, Anna M. Michalak, 2012 .

Comparing and Blending Regional Climate Model Predictions for the American Southwest

Dorit Hammerling, Andrew O. Finley, Paul L. Delamater, 2011 .

A Multivariate Global Spatiotemporal Stochastic Generator for Climate Ensembles

D. Hammerling, S. Castruccio, M. Edwards, 2019, Journal of Agricultural, Biological and Environmental Statistics.

Reproducing Internal Variability with Few Ensemble Runs

D. Hammerling, B. Sanderson, A. Karspeck, 2019, Journal of Climate.

Links Between Carbon Monoxide and Climate Indices for the Southern Hemisphere and Tropical Fire Regions

H. Worden, M. Deeter, D. Edwards, 2018, Journal of Geophysical Research: Atmospheres.

Observation-based blended projections from ensembles of regional climate models

E. Salazar, B. Sansó, A. Finley, 2016, Climatic Change.

A new ensemble-based consistency test for the Community Earth System Model

Douglas W. Nychka, Dorit Hammerling, Sheri Mickelson, 2015 .

Author’s Response, Minor Revision Iteration Nine time steps: ultra-fast statistical consistency testing of the Community Earth System Model (pyCECT v3.0)

E. Jessup, A. Baker, D. Hammerling, 2022 .

Optimizing Data Compression for the Community Earth System Model

Haiying Xu, A. H. Baker, D. Hammerling, 2019 .

Chemistry-Climate Links for Carbon Monoxide in Northern Hemisphere Boreal Fire Regions and an Assessment of Global Fire Inventories

H. Worden, C. Wiedinmyer, L. Emmons, 2019 .

Parallel inference for massive distributed spatial data using low-rank models

M. Katzfuss, D. Hammerling, 2014, Stat. Comput..

Interpretable Models Capture the Complex Relationship Between Climate Indices and Fire Season Intensity in Maritime Southeast Asia

H. Worden, D. Hammerling, R. Buchholz, 2022, Journal of Geophysical Research: Atmospheres.

Initial Findings from Continuous Monitoring of Oil and Gas Operations

M. Bazilian, D. Hammerling, William S. Daniels, 2021 .

The VIIRS Day/Night Band: A Flicker Meter in Space?

P. Sutton, C. Elvidge, M. Bazilian, 2022, Remote. Sens..

Parametric nonstationary covariance functions on spheres

Lewis R. Blake, D. Hammerling, E. Porcu, 2022, Stat.

A Case Study Competition Among Methods for Analyzing Large Spatial Data

Dorit Hammerling, Finn Lindgren, Matthias Katzfuss, 2017, Journal of Agricultural, Biological and Environmental Statistics.

Modeling massive multivariate spatial data with the basis graphical lasso pdf

Dorit Hammerling, Stephen Becker, William Kleiber, 2021, ArXiv.

Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso

Stephen Becker, D. Hammerling, W. Kleiber, 2021, 2101.02404.

Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation

Dorit Hammerling, Stefano Castruccio, Matthew Edwards, 2018, Comput. Stat. Data Anal..

Marginally Parametrized Spatio-Temporal Models and Stepwise Maximum Likelihood Estimation

D. Hammerling, S. Castruccio, M. Edwards, 2018 .

Modeling and emulation of nonstationary Gaussian fields

Dorit Hammerling, Ashton Wiens, Douglas Nychka, 2017, Spatial Statistics.

Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones

Ann B. Lee, Kimberly M. Wood, D. Hammerling, 2019, Journal of Applied Meteorology and Climatology.

Combining interdependent climate model outputs in CMIP5: A spatial Bayesian approach

Richard L. Smith, B. Li, D. Hammerling, 2019, 2001.00074.

Multiscale Methane Measurements at Oil and Gas Facilities Reveal Necessary Frameworks for Improved Emissions Accounting

D. Hammerling, Jiayang Wang, Matthew Harrison, 2022, Environmental science & technology.

Multi-scale Methane Measurements at Oil and Gas Facilities 1 Reveal Necessary Framework for Improved Emissions 2 Accounting 3

D. Hammerling, Matthew, A. Ravikumar, 2022 .

Global CO2 distributions over land from the Greenhouse Gases Observing Satellite (GOSAT)

Dorit Hammerling, Christopher W. O'Dell, S. Randolph Kawa, 2012 .

Geostatistical inverse modeling for super-resolution mapping of continuous spatial processes

Dorit Hammerling, Jun Wang, Daniel G. Brown, 2013 .

HECT: High-Dimensional Ensemble Consistency Testing for Climate Models

Dorit Hammerling, Ann B. Lee, Niccolo Dalmasso, 2020, 2010.04051.

Predicting Fire Season Intensity in Maritime Southeast Asia with Interpretable Models

H. Worden, D. Hammerling, R. Buchholz, 2021 .

Compression and Conditional Emulation of Climate Model Output

Dorit Hammerling, Joseph Guinness, J. Guinness, 2016, 1605.07919.

A Bayesian hierarchical model for climate change detection and attribution

Richard L. Smith, Matthias Katzfuss, Richard L. Smith, 2017 .

Parallel inference for massive distributed spatial data using low-rank models

M. Katzfuss, D. Hammerling, 2016, Statistics and Computing.

Nonstationary Spatial Modeling of Massive Global Satellite Data

Lewis R. Blake, Matthias Katzfuss, Huang Huang, 2021, 2111.13428.

Explorer A Multi-resolution Gaussian process model for the analysis of large spatial data sets

Dorit Hammerling, Finn Lindgren, Soutir Bandyopadhyay, 2012 .

ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing

Robert Pincus, Ruth Lorenz, Reto Knutti, 2018, Earth System Dynamics.

DSSIM: a structural similarity index for floating-point data

A. Baker, D. Hammerling, Alexander Pinard, 2022, ArXiv.

Quantifying the Spatial Structure of Tropical Cyclone Imagery

Ann B. Lee, Kimberly M. Wood, D. Hammerling, 2019 .

Interannual Variation of Upper Tropospheric CO over the Western Pacific Linked with Indonesian Fires

H. Worden, T. Machida, H. Matsueda, 2019, SOLA.

Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data

Allison H. Baker, Terece L. Turton, Dorit Hammerling, 2019, Comput. Graph. Forum.

Assessing Differences in Large Spatio-temporal Climate Datasets with a New Python package

A. Baker, D. Hammerling, Alexander Pinard, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Simulation Testbed for Trend Detection and Attribution Methods

Dorit Hammerling, Nathan Lenssen, Alexis Hannart, 2018 .

Making Root Cause Analysis Feasible for Large Code Bases: A Solution Approach for a Climate Model

Elizabeth R. Jessup, Thomas Hauser, Youngsung Kim, 2018, HPDC.

Towards Characterizing the Variability of Statistically Consistent Community Earth System Model Simulations

Dorit Hammerling, Elizabeth R. Jessup, Daniel Milroy, 2016, ICCS.

Multiresolution Kriging Based on Markov Random Fields

Douglas W. Nychka, Dorit Hammerling, Stephan R. Sain, 2015 .

ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing

Robert Pincus, Ruth Lorenz, Reto Knutti, 2019, Earth System Dynamics.

A statistical analysis of lossily compressed climate model data

Allison H. Baker, Alexander Pinard, Andrew Poppick, 2020, Comput. Geosci..

Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data

Haiying Xu, Allison H. Baker, John P. Clyne, 2017, ISC Workshops.

Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso

Dorit Hammerling, Stephen Becker, William Kleiber, 2021, J. Comput. Graph. Stat..

Completing the Results of the 2013 Boston Marathon

Dorit Hammerling, Giovanni Parmigiani, Matthew Cefalu, 2014, PloS one.