Explanipedia

Open‐Source Anaerobic Digestion Modeling Platform, Anaerobic Digestion Model No. 1 Fast (ADM1F) Open

Kuang Zhu, Wenjuan Zhang, Elchin Jafarov, Satish Karra, Kurt Solander , et al. · 2024

An open‐source modeling platform, called Anaerobic Digestion Model No. 1 Fast (ADM1F), is introduced to achieve fast and numerically stable simulations of anaerobic digestion processes. ADM1F is compatible with an iPython interface to faci…

Improved Arctic Melt Pond Fraction Estimation Using Sentinel-2 Imagery Open

Kavya Sivaraj, Kurt Solander, Charles J. Abolt, Elizabeth Hunke · 2024

Melt ponds play a vital role in determining the Arctic energy budget by accelerating the rate of sea ice loss aided by their lower albedo. Therefore, an accurate long-term estimate of Arctic Melt Pond Fraction (MPF) is necessary to forecas…

Impact of Drought on Global Food Security by 2050 Open

Vachel A. Carter, Kirsten Paff, Darin Comeau, Kurt Solander, Travis Pitts , et al. · 2024

We investigated global food security in response to drought using a process-based crop model within an Earth system model. Globally, future drought losses for annual maize, soybean, rice, and wheat production are projected to be <2%. Despi…

Advancing the Limits of InSAR to Detect Crustal Displacement from Low-Magnitude Earthquakes through Deep Learning Open

Elena C. Reinisch, Charles J. Abolt, Erika Swanson, Bertrand Rouet‐Leduc, Emily E. Snyder , et al. · 2024

Detecting surface deformation associated with low-magnitude (Mw≤5) seismicity using interferometric synthetic aperture radar (InSAR) is challenging due to the subtlety of the signal and the often challenging imaging environments. However, …

Soil water percolation and nutrient fluxes as a function of topographical, seasonal and soil texture variation in Central Amazonia, Brazil Open

Jardel Ramos Rodrigues, Kurt Solander, Stephen Cropper, Brent D. Newman, Adam Collins , et al. · 2024

Understanding soil water dynamics and transport of nutrients is challenging in tropical rainforests due to the uniqueness of several properties related to soils, vegetation and seasonality that make relating patterns found in temperate env…

A deep-learning approach to predict river temperature in Alaska Open

Shuyu Chang, Jonathan Paul Schwenk, Kurt Solander · 2024

Soil Water Percolation Chemistry, April 2017 to March 2019, BR-Ma2, Manaus Open

Jardel Rodrigues, Kurt Solander, Stephen Cropper, Adam Collins, Brent D. Newman , et al. · 2024

Soil water percolation chemistry including major cations, anions and isotope geochemistry. Samples were collected from six passive wick flux meters across three topographic positions (valley, slope and plateau). Data has been processed to …

Pan-Arctic daily streamflow at 0.5-degree resolution Open

Tian Zhou, Kurt Solander, Jon Schwenk · 2024

Data was derived using daily runoff from models participating in the Coupled Model Intercomparison Project, version 6 (CMIP6) that have been routed through the Model for Scale Adaptive River Transport (MOSART) routing model to represent st…

Soil Water Percolation Flux, April 2017 to March 2019, BR-Ma2, Manaus Open

Jardel Rodrigues, Kurt Solander, Stephen Cropper, Adam Collins, Brent D. Newman , et al. · 2024

Soil water percolation flux measurements derived from six passive wick flux meters across three topographic positions (valley, slope and plateau). Data has been processed to compute the mean for each topographic position where two flux met…

Comment on egusphere-2023-278 Open

Chonggang Xu, Bradley Christoffersen, Zachary Robbins, Ryan Knox, Rosie A. Fisher , et al. · 2023

Abstract. Vegetation plays a key role in the global carbon cycle and thus is an important component within Earth system models (ESMs) that project future climate. Many ESMs are adopting methods to trace the size and succes…

Comment on egusphere-2023-278 Open

Chonggang Xu, Bradley Christoffersen, Zachary Robbins, Ryan Knox, Rosie A. Fisher , et al. · 2023

Abstract. Vegetation plays a key role in the global carbon cycle and thus is an important component within Earth system models (ESMs) that project future climate. Many ESMs are adopting methods to trace the size and succes…

Frost prediction using machine learning and deep neural network models Open

Carl Talsma, Kurt Solander, Maruti Kumar Mudunuru, Brandon L. Crawford, Michelle R. Powell · 2023

This study describes accurate, computationally efficient models that can be implemented for practical use in predicting frost events for point-scale agricultural applications. Frost damage in agriculture is a costly burden to farmers and g…

The drivers and predictability of wildfire re-burns in the western United States (US) Open

Kurt Solander, Carl Talsma, Velimir V. Vesselinov · 2023

Evidence is mounting that the effectiveness of using prescribed burns as a management tactic may be diminishing due to the higher incidence of wildfire re-burns. The development of predictive models of re-burns is thus essential to better …

Multi-scale quantification of anthropogenic, fire, and drought-associated forest disturbances across the continental U.S., 2000–2014 Open

Minzi Wang, Chonggang Xu, Daniel J. Johnson, Craig D. Allen, Martha C. Anderson , et al. · 2022

Our understanding of broad-scale forest disturbances under climatic extremes remains incomplete. Drought, as a typical extreme event, is a key driver of forest mortality but there have been no reports on continental-scale quantification of…

Towards Automated/Semiautomated Extraction of Faults from Lidar Data Open

Paul A. Pope, B. Crawford, Anita Lavadie-Bulnes, E. S. Schultz-Fellenz, Damien Milazzo , et al. · 2022

The Pajarito fault system is a complex zone of deformation and a seismically active region nestled within the Rio Grande rift in north-central New Mexico. Numerous laterally discontinuous faults and associated folds and fractures interact …

Frost Prediction Using Machine Learning and Deep Neural Network Models for Use on Iot Sensors Open

Carl Talsma, Kurt Solander, Maruti Kumar Mudunuru, B. G. R. Crawford, Michelle Powell · 2022

Comparing deuterium excess to large-scale precipitation recycling models in the tropics Open

Stephen Cropper, Kurt Solander, Brent D. Newman, Obbe A. Tuinenburg, Arie Staal , et al. · 2021

EdgeAI: How to Use AI to Collect Reliable and Relevant Watershed Data Open

Maruti Kumar Mudunuru, Xingyuan Chen, Satish Karra, Glenn Hammond, Peishi Jiang , et al. · 2021

Focal Area(s): Focal areas are on data acquisition and assimilation enabled by AI, advanced methods including experimental/network design/optimization, unsupervised learning (including deep learning), and hardware-related efforts involving…

COVID-19 and Machine Learning: Preliminary Exploration [Slides] Open

Velimir V. Vesselinov, Richard Middleton, Kurt Solander, Carl Talsma · 2021

waves) in the analyzed datasets and automatically identify their optimal number. The features are extracted by identifying counties that have similarities between the county-level societal variables and the COVID-19 parameters. These demon…

Response to reviewer (RC1) Open

Kurt Solander · 2020

The paper aims to update the documentation of the response of soil moisture to El Niño in tropical regions.The work is very well presented and has a high potential to be published because of its contribution to improve the predictions of t…

Response to reviewer (RC2) Open

Kurt Solander · 2020

The manuscript "The pan-tropical response of soil moisture to El Niño" evaluates the quality of the GLDAS soil moisture dataset and uses GLDAS to investigate response of soil moisture to three recent "super El Niño" events.The study is of …

Estimating hydrologic vulnerabilities to climate change using simulated historical data: A proof-of-concept for a rapid assessment algorithm in the Colorado River Basin Open

Kurt Solander, Katrina E. Bennett, Sean W. Fleming, Richard S. Middleton · 2019

Converting Food Waste to Energy [Slides] Open

Kurt Solander, Elchin Jafarov · 2019

Project Goal: divert organic fraction of municipal solid waste (OFMSW) and food waste while generating methane and renewable bioproducts.

Climate variability and fill rate impacts on downstream flows from the Grand Ethiopian Renaissance Dam [Sheets] Open

Kurt Solander, Avipsa Roy, Min Chen, Emily Casleton, M. Wahl , et al. · 2019

Conclusions of this report include: Flow conditions (wet, normal, dry) are strong determinant of success in filling the dam; Some improvement for longer fill periods; Downstream Flow Compact only met under wetter flow conditions, rare othe…

The Cape Town drought: what is happening and will it happen again? Open

Kurt Solander, Cathy J. Wilson · 2018

Climate-driven disturbances in the San Juan River sub-basin of the Colorado River Open

Katrina E. Bennett, T. J. Bohn, Kurt Solander, N. G. McDowell, Chonggang Xu , et al. · 2018

Accelerated climate change and associated forest disturbances in the southwestern USA are anticipated to have substantial impacts on regional water resources. Few studies have quantified the impact of both climate change and land cover dis…

GRACE satellite observations reveal the severity of recent water over-consumption in the United States Open

Kurt Solander, J. T. Reager, Yoshihide Wada, J. S. Famiglietti, Richard S. Middleton · 2017

Shifts in historical streamflow extremes in the Colorado River Basin Open

Kurt Solander, Katrina E. Bennett, Richard S. Middleton · 2017

Climate change and climate-driven disturbances in the San Juan River sub-basin of the Colorado River Open

Katrina E. Bennett, T. J. Bohn, Kurt Solander, N. G. McDowell, Chonggang Xu , et al. · 2017

Accelerated climate change and associated forest disturbances in the Southwestern USA are anticipated to have substantial impacts on regional water resources. Few studies have quantified the impact of both climate change and land cover dis…

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