A5054044278- Marine and coastal ecosystems
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models
- Marine Biology and Ecology Research
- Ocean Acidification Effects and Responses
- Oceanographic and Atmospheric Processes
- Isotope Analysis in Ecology
- Marine and fisheries research
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Climate Change and Health Impacts
- Food Industry and Aquatic Biology
- Hydraulic Fracturing and Reservoir Analysis
- Global Energy and Sustainability Research
- Time Series Analysis and Forecasting
- Environmental Policies and Emissions
- Environmental Monitoring and Data Management
- Air Quality and Health Impacts
- Geological and Geophysical Studies
- Coral and Marine Ecosystems Studies
- Reservoir Engineering and Simulation Methods
- Microfluidic and Capillary Electrophoresis Applications
- Coastal and Marine Management
- Climate change impacts on agriculture
- Climate Change and Environmental Impact
Princeton University
2014-2023
Institute for Basic Science
2023
NOAA Oceanic and Atmospheric Research
2020
Cornell University
2016
Abstract Reducing uncertainty in the global carbon budget requires better quantification of ocean CO 2 uptake and its temporal variability. Several methodologies for reconstructing air‐sea exchange from pCO observations indicate larger decadal variability than estimated using models. We develop a new application multiple Large Ensemble Earth system models to assess these reconstructions' ability estimate spatiotemporal With our Testbed, fields 25 ensemble members each four independent are...
Anthropogenically forced changes in ocean biogeochemistry are underway and critical for the carbon sink marine habitat. Detecting such will require quantification of magnitude change (anthropogenic signal) natural variability inherent to climate system (noise). Here we use Large Ensemble (LE) experiments from four Earth models (ESMs) with multiple emissions scenarios estimate Time Emergence (ToE) partition projection uncertainty anthropogenic signals five biogeochemically important...
Abstract Anthropogenic changes in the variability of precipitation stand to impact both natural and human systems profound ways. Precipitation encompasses not only extremes like droughts floods, but also spectrum which populates times between these extremes. Understanding alongside mean extreme is essential unraveling hydrological cycle’s response warming. We use a suite state-of-the-art climate models, with each model consisting single-model initial-condition large ensemble (SMILE),...
Abstract The seasonal cycle is the dominant mode of variability in air‐sea CO 2 flux most regions global ocean, yet discrepancies between different seasonality estimates are rather large. As part Regional Carbon Cycle Assessment and Processes Phase project (RECCAP2), we synthesize surface ocean p from models observation‐based estimates, focusing on both a present‐day climatology decadal changes 1980s 2010s. Four main findings emerge: First, biogeochemistry (GOBMs) ( products) disagree...
Abstract Using the Community Earth System Model, we explore role of human land use and cover change (LULCC) in modifying terrestrial carbon budget simulations forced by Representative Concentration Pathway 8.5, extended to year 2300. Overall, conversion (e.g., from forest croplands via deforestation) results a model‐estimated, cumulative loss 490 Pg C between 1850 2300, larger than 230 caused climate over this same interval. The LULCC is combination direct at time an indirect reduction...
Abstract Observations and climate models indicate that changes in the seasonal amplitude of sea surface carbon dioxide partial pressure (A‐ p CO 2 ) are underway driven primarily by anthropogenic (C ant accumulation ocean. This occurs because is more responsive to physics (including warming) biology an ocean contains C . A‐ have potential alter annual uptake contribute overall marine cycle feedback. Using GFDL ESM2M Large Ensemble a novel analysis framework, we quantify influence on cycles...
Abstract A positive marine chemistry‐climate feedback was originally proposed by Revelle and Suess (1957, https://doi.org/10.3402/tellusa.v9i1.9075 ), whereby the invasion flux of anthropogenic carbon into ocean serves to inhibit future CO 2 uptake through reductions buffering capacity surface seawater. Here we use an circulation‐carbon cycle model identify upper limit on impact reemergence ocean's mixed layer cumulative airborne fraction in atmosphere. We find under RCP8.5 emissions pathway...
Abstract It is well established that the ocean plays an important role in absorbing anthropogenic carbon C ant from atmosphere. Under global warming, Earth system model simulations and theoretical arguments indicate capacity of to absorb will be reduced, with this constituting a positive carbon–climate feedback. Here we apply suite sensitivity comprehensive demonstrate surface waters shallow overturning structures (spanning 45°S–45°N) sustain nearly half The main results reveal feedback...
Abstract. Earth system models suggest that anthropogenic climate change will influence marine phytoplankton over the coming century with light-limited regions becoming more productive and nutrient-limited less productive. Anthropogenic can not only mean state but also internal variability around state, yet little is known about how in time. Here, we quantify of on biomass from 1920 to 2100 using Community System Model 1 Large Ensemble (CESM1-LE). We find a significant decrease global carbon...
Reducing uncertainty in the global carbon budget requires better quantification of ocean CO2 uptake and its temporal variability. Several methodologies for reconstructing air-sea exchange from sparse pCO2 observations indicate larger decadal variability than estimated using models. We develop a new application multiple Large Ensemble Earth system models to assess these reconstructions’ ability estimate spatiotemporal With our Testbed, fields 25 ensemble members each four independent are...
Abstract. Multiple studies conducted with Earth System Models suggest that anthropogenic climate change will influence marine phytoplankton over the coming century. Light limited regions are projected to become more productive and nutrient less productive. Anthropogenic can not only mean state, but also variance around yet little is known about how in time. Here, we quantify of on internal variability biomass from 1920 2100 using Community Model 1 Large Ensemble (CESM1-LE). We find a...
Reducing uncertainty in the global carbon budget requires better quantification of ocean CO2 uptake and its temporal variability. Several methodologies for reconstructing air-sea exchange from sparse pCO2 observations indicate larger decadal variability than estimated using models. We develop a new application multiple Large Ensemble Earth system models to assess these reconstructions’ ability estimate spatiotemporal With our Testbed, fields 25 ensemble members each four independent are...
Abstract Anthropogenic climate change is affecting marine ecosystems by altering the strength of phytoplankton blooms and driving shifts in seasonality (phenology) productivity. Here, we analyze a new 30-member Large Ensemble projections to quantify sensitivity bloom phenology (initiation, peak timing, net growth period length) anthropogenic forcing. Forced changes duration vary widely across global ocean, with high latitudes experiencing reduction up one month, tropics subtropics an...
The seasonal cycle is the dominant mode of variability in air-sea CO 2 flux most regions global ocean, yet discrepancies between different seasonality estimates are rather large.As part Regional Carbon Cycle Assessment and Processes phase project (RECCAP2), we synthesize surface ocean pCO from models observation-based estimates, focusing on both a modern climatology decadal changes 1980s 2010s.Four main findings emerge: First, biogeochemistry (GOBMs) (pCO products) disagree, primarily due to...