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GFDL Past Events & Seminars - 2020

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Date Speaker Affiliation Title of Presentation
Jan. 9Formal Seminar - Bob KoppRutgers UniversityLinking climate science, economics, and Big Data to estimate climate change impacts and endogenous adaptation
Understanding the likely global economic impacts of climate change is of tremendous practical value to both policymakers and researchers. Yet the economics literature has struggled both to provide empirically founded estimates of the economic damages from climate change and to provide quantitative insight into what climate change will mean at the local level for diverse populations. The Climate Impact Lab (a collaboration among Rutgers, UC-Berkeley, the University of Chicago, and the Rhodium Group) is advancing a method based on combining: (1) probabilistic simple climate model projections of the global mean response to forcing, downscaled and pattern-scaled based on CMIP-class models to translate global mean to local responses, and (2) empirical econometric estimates of the historical response of human systems to weather variability, derived from massive, standardized data sets and incorporating cross-sectional variability to estimate the benefits and costs of climate adaptation. This talk will focus on the example of temperature-related mortality and associated adaptation using sub-national data from 40 countries. Our results demonstrate that the temperature-related mortality impacts fall disproportionately on low-income populations, with high-income counties projected in the median to experience a decline in mortality through 2100, even under RCP 8.5, although the economic benefits of this decline are outweighed by the costs of adaptation. Even moderate emissions reductions result in substantial benefits, with median projected global mortality risk in RCP 4.5 (SSP 3 Socioeconomics) about 85% lower than that under RCP 8.5. Contact:
Jan. 21Informal Seminar - Daniel McCoyUniversity of Leeds, UKEmpirical constraints on midlatitude cloud feedbacks and aerosol-cloud interactions
Constraining how much the Earth's climate will warm in response to greenhouse gas emissions is one of the primary goals of climate science. Our understanding of clouds and their interactions with their environment represent a central uncertainty in constraining climate sensitivity. I will present research seeking empirical constraints on two features of clouds that substantially impact our ability to constrain climate sensitivity: shortwave cloud feedback and aerosol-cloud interactions (aci). I will focus on the midlatitude regime because it has been shown in recent research to contribute strongly to uncertainty in both effective radiative forcing due to aci (ERFaci), and global-mean cloud feedback in global climate models (GCMs).
Jan. 22Chris Bretherton and Oli FuherVulcan Inc., and University of WashingtonThe Vulcan Climate Modeling/GFDL collaboration: First and next steps toward using convection-resolving global SHiELD simulations to train machine learning parameterizations for moist physics in coarser-resolution versions of FV3-GFS
10-10:30 Chris: Vulcan/GFDL project Machine Learning (ML) overview 10:30-11 Oli: Vulcan/GFDL project Domain Specific Language (DSL) overview 11-11:30: DSL discussion 11:30-noon: ML discussion
Jan. 23Formal Seminar - Kyle ArmourUniversity of Washington An update on the pattern effect and its confounding role in estimates of equilibrium climate sensitivity
I'll give an overview of recent work on how radiative feedbacks depend on the spatial pattern of sea-surface temperature (SST) - the so-called 'pattern effect' - and how this dependence confounds our estimates of equilibrium climate sensitivity (ECS) from both instrumental and proxy records. New modeling and observational analyses, such as the use of localized warming patch simulations and the use of satellite observations, provide clarity on the key regions and mechanisms linking radiative feedbacks to SST patterns. New analyses using CMIP5 and CMIP6 models quantify how radiative feedbacks will change as warming patterns evolve in the future, but large uncertainty remains, implying that the historical record currently provides limited information about the upper bound of ECS. It has been suggested that the paleoclimate proxy record may thus provide our strongest constraints on ECS, but the role of SST patterns in the radiative feedbacks estimated from past climate states has not yet been accounted for. I will describe preliminary work to estimate the importance of the pattern effect in the context of the Last Glacial Maximum and the Pliocene. Speakers Email:
Jan. 28Seung Hun BaekColumbia UniversityCharacterizing the Oceanic and Atmospheric Drivers of Spatially Widespread Droughts over the Contiguous United States
Droughts that achieve extreme spatial extent over the contiguous United States (herein pan-CONUS droughts) pose unique challenges because of their potential to strain multiple water resources simultaneously. Understanding the causes of these extreme droughts is critical given the significant financial damages of these droughts: pan-CONUS droughts in 1988 and 2012, for instance, cost an estimated $40 and $30 billion, respectively. The canonical understanding of oceanic influences on North American hydroclimate would suggest that pan-CONUS droughts are forced by a contemporaneous cold tropical Pacific Ocean and warm tropical Atlantic Ocean. However, analyses using mechanism-denial climate model simulations, observations, and paleoclimate reconstructions demonstrate this not to be the case. The contributions of oceanic and atmospheric variability to pan-CONUS droughts are first investigated using three 16-member ensembles atmospheric models forced with observed sea surface temperatures (SST) from 1856 to 2012. The employed SST forcing fields are either (i) global or restricted to the (ii) tropical Pacific or (iii) tropical Atlantic to isolate the impacts of these two ocean regions on pan-CONUS droughts. Model results show that SST forcing of pan-CONUS droughts originates almost entirely from the tropical Pacific because of atmospheric highs from the northern Pacific to eastern North America established by La Niña conditions, with little contribution from the tropical Atlantic. Notably, in all three model configurations, internal atmospheric variability influences pan-CONUS drought occurrence by as much or more than the ocean forcing and can alone cause pan-CONUS droughts by establishing a dominant high centered over the US Montane West. Model results are compared to and reconciled with the observational record. A millennium-length (850 - 1850 C.E.) perspective on the causes of pan-CONUS droughts is also provided using a new paleo reconstruction product that merges climate model information with multiple climate proxies (including tree rings, ice cores, and corals). Composite analyses show robust association between pan-CONUS drought events and cold tropical Pacific conditions, but not with warm Atlantic conditions. Similarly, self-organizing map analyses shows that pan-CONUS drought years are most commonly associated with a global SST patterns displaying strong La Niña and cold Atlantic conditions. These results show that La Niña events in the tropical Pacific are the principal oceanic influence on pan-CONUS droughts, while variability in the Atlantic has not played a significant role; the oceanic drivers over the paleo record are thus consistent with the model-based findings over the observational record.
Jan. 30Formal Seminar - Gerard RoeUniversity of WashingtonEnergetic and heat-engine constraints on the spatial patterns of climate and climate change
The climate system operates as a thermodynamic heat engine. A surplus of energy in the tropics and a deficit of energy in the high latitudes must be balanced with a poleward transport of energy by atmospheric and oceanic motions that ultimately do work against frictional dissipation. Sadi Carnot understood as much when formulating the laws of thermodynamics in the early nineteenth century. Atmospheric motions carry approximately eighty percent of the maximum poleward energy transport, and latent heat in the form of water vapor is a crucial component of this transport. Thus, the climatic patterns of temperature, evaporation, precipitation, the isotopic composition of water vapor, and even natural aerosols, are all linked through this transport. Recent research has demonstrated that atmospheric energy transport can be usefully approximated as a linear down-gradient transport of moist enthalpy. This single simple rule for transport explains many features of the mean climate, the predicted climate changes under global warming, and the spread of uncertainty among numerical climate models. Among these features are: polar amplification; the poleward migration of the subtropics, storm tracks, and jet stream under warming; uncertainty in model predictions maximizing in polar regions; hydrologic change as a function of climate state; and the sensitivity of the isotopic composition of precipitation to climate change. Speaker email:
Jan. 31Gerard RoeUniversity of WashingtonCentennial glacier retreat as categorical evidence of regional climate change
Feb. 5Lunchtime Seminar Series - William KuoUniversity Corporation for Atmospheric Research, Boulder, U.S.A. (UCAR)Impact of Radio Occultation Data on the prediction of Tropical Cyclogenesis
Tropical cyclones are one of the most devastating severe weather systems that are responsible for huge loss of lives and properties every year. Accurate prediction of tropical cyclogenesis by numerical models has been a significant challenge, largely because of the lack of observations over the tropical oceans. The atmospheric limb sounding technique, which makes use of radio signals transmitted by global navigation satellite systems (GNSS), has evolved as a robust global observing system. This technique, known as radio occultation (RO) can provide valuable water vapor and temperature observations for the analysis and prediction of tropical cyclogenesis. Using the WRF modeling and data assimilation system, we show that the assimilation of RO data can substantially improve the skills of the model in predicting the tropical cyclogenesis for ten typhoon cases that took place over the Western Pacific from 2008 to 2010. To gain insight on the impact of GPS RO data assimilation, we perform a detailed analysis of the formation process of Typhoon Nuri (2008), and examine how the assimilation of the GPS RO data enables the model to capture the cyclogenesis. The joint Taiwan-U.S. COSMIC-II mission was launched in June 2019. It is currently going through check-out phase, and will provide 5,000 GPS RO data per day over the tropics when it is fully operational. This will provide a great opportunity for research and operational prediction of tropical cyclogenesis. Host: Leo Donner
Feb. 6Formal Seminar - Kevin ReedStony Brook UniversityDetecting climate change impacts on extreme weather
The next century will see unprecedented changes to the climate system with direct consequences for society. As stated in the National Climate Assessment, "changes in extreme weather events are the primary way that most people experience climate change." In this sense, the characteristics of extreme weather are key indicators of climate change impacts, at both local and regional scales. Understanding potential changes in the location, intensity and structure of such extremes (e.g., tropical cyclones and flooding) is crucial in planning for future adaptation as these events have large economic and social costs. The goal of this work is to better understand climate impacts on extreme weather events in various high-resolution configurations of the Community Atmosphere Model (CAM) run at horizontal grid spacings of approximately 28 km and forced with prescribed sea-surface temperatures and greenhouse gas concentrations for past, present, and future climates. This analysis will include the evaluation of conventional (AMIP-style) decadal simulations typical of climate models, short 7-day ensemble hindcasts of recent devastating events (e.g., Hurricane Florence in 2018), and reduced complexity simulations of idealized states of the climate system. Through this hierarchical modeling approach the impact of climate change on the characteristics (frequency, intensity, rainfall, etc.) of extreme weather, including tropical cyclones, can be quantified. Speaker Email:
Feb. 7Informal Seminar - Pavel BerloffImperial College of LondonSome novel approaches for parameterizing mesoscale eddies
This talk focuses on some new approaches for parameterizing oceanic mesoscale eddy effects for use in non-eddy-resolving and eddy-permitting general circulation models. The context is provided in terms of discussing the existing ideas and problems with their realizations. Specific example of eddy-rich eastward jet extensions of western boundary currents and their adjacent recirculation zones is considered in the classical multi-layer quasigeostrophic model of the wind-driven midlatitude circulation. First, the key dynamical mechanism operating in the eddy-resolving model and maintaining the eastward jet is identified as the ''eddy backscatter'', which is based on persistent and positive time-lag correlations between the transient part of the nonlinear eddy forcing and the large-scale flow response. Second, this mechanism has to be ultimately parameterized, and discussing how this can be done is the main part of the talk. We will systematically (but not too technically) discuss 4 different, novel parameterization approaches, which are complimentary to the existing ones: (1) direct stochastic forcing (DSF); (2) implicit stochastic footprints (ISF); (3) data-driven eddy emulations (DEE); and (4) local eddy amplification (LEA). DSF approach explicitly adds statistically constrained stochastic forcing to the coarse model. ISF approach imposes statistically constrained stochastic forcing on an intermediate-complexity eddy-resolving model, obtains its nonlinear response in terms of the coarse-grained footprint, and then imposes local footprints on the coarse model. DEE approach emulates eddies via multi-layer nonlinear regression, then feeds them to the deterministic eddy forcing operator coupled to the large-scale flow fields, and adds the resulting forcing to the coarse model. LEA approach interactively identifies eddies and amplifies them locally and in a simple way --- this is the simplest and also most practical approach for the present state of modelling. Relative strengths and weaknesses of these approaches, as well as some future developments will be also discussed.
Feb. 10Informal Seminar - Rebecca BeadlingU of ArizonaSimulation of large-scale circulation and properties in the North Atlantic and Southern Ocean in coupled climate models
The global oceans act as a mediator of Earth's climate due to their role in the storage of heat and carbon. Presently, the oceans account for the storage of approximately 93% of the anthropogenic heat on our planet and ~27% of the anthropogenic CO2. Two regions in particular, the Southern and North Atlantic Ocean (SO,NA), act as gateways for the exchange of CO2 and heat between the atmosphere and the interior ocean, due to the unique deep and intermediate water formation processes that occur here. Large uncertainty exists with respect to understanding how the ocean circulation patterns and properties are projected to change in these regions throughout the 21st century. One avenue of reducing projection uncertainty is through improved representation of ocean circulation and properties in these regions in historical simulations relative to the observational record and through the interpretation of projected trends with knowledge of mean state biases. In the subtropical NA, a key region through which properties from the tropics are advected to the subpolar latitudes, the volume transports of the major flow regimes are reasonably represented in many CMIP5 models relative that observed by the RAPID array at 26oN. As the climate warms, the NA subtropical gyre is weakened in response to a reduced wind stress curl, which acts as a source of significant additional weakening to the northward western boundary current flow. In the SO, despite its dominant role in the oceanic uptake of anthropogenic carbon and heat relative to other basins, the large-scale circulation and properties have been poorly represented in climate models, resulting in low confidence ascribed to 21st century projections of the state of the SO. A comprehensive assessment performed across ensembles of models contributed to the past three CMIP generations (CMIP3 - CMIP6) show improved representation of key observable-metrics in this region including surface wind stress and wind stress curl, strength of the ACC, and density gradients in the region of the ACC. However, some persistent biases have carried over into CMIP6 including an upper ocean that remains too fresh and too warm, significant warm biases at depth in several simulations, and a poor representation of Antarctic sea ice extent. These biases in observable metrics need to be considered when interpreting projected trends or biogeochemical properties in this region.
Feb. 18Informal Seminar - Rei ChemkeColumbia UniversityRecent atmospheric circulation trends: two major flaws in reanalyses and in climate models
The weakening of the Hadley cell and of the midlatitude eddy heat fluxes are two of the most robust responses of the atmospheric circulation to increasing concentrations of greenhouse gases. These changes have important global climatic impacts, as the large-scale circulation acts to transfer heat and moisture from the tropics to polar regions. Here, we examine Hadley cell and eddy heat flux trends in recent decades: contrasting model simulations with reanalyses, we uncover two important flaws -- one in the reanalyses and other in the model simulations -- that have, to date, gone largely unnoticed. First, we find that while climate models simulate a weakening of the Hadley cell over the past four decades, most atmospheric reanalyses indicate a considerable strengthening. Interestingly, that discrepancy does not stem from biases in climate models, but appears to be related to artifacts in the representation of latent heating in the reanalyses. This suggests that when dealing with the divergent part of the large-scale circulation, reanalyses may be fundamentally unreliable for the calculation of trends, even for trends spanning several decades. Second, we examine recent trends in eddy heat fluxes at midlatitudes, which are directly linked to the equator-to-pole temperature gradient. In the Northern Hemisphere models and reanalyses are in good agreement, and show a robust weakening that has emerged from the internal variability around the year 2000, and we attribute it to increasing greenhouse gases. In the Southern Hemisphere, however, models disagree on the trends while reanalyses indicate a robust strengthening. In this case, the flaw is found to be with the climate models, which are unable to simulate the observed multidecadal cooling of the Southern Ocean at high-latitudes, and the accompanying increase in sea ice. While the biases in modeled Antarctic sea ice trends have been widely reported, our results demonstrates that such biases have important implications well beyond the high Southern latitudes, as they impact the equator-to-pole temperature and, as a consequence, the midlatitude atmospheric circulation.
Feb. 25Informal Seminar - Youngji Joh (postdoc candidate)Georgia Institute of TechnologyCouplings in the Pacific in a changing climate: Theories, Observations, and Models
Pacific climate and weather extremes including heatwaves, drought, and hydrological hazard, which drive significant impact on the U.S. community and thus have been paid great attention, are dynamically linked to not only local air-sea interactions, but also large-scale climate variability (e.g., Pacific decadal variability and El Niño Southern Oscillation). This study aims at improving the theories of climate coupling within the North Pacific and across to the central tropical Pacific with investigating their response to anthropogenic forcing. Using multiple observational reanalyses and global climate model ensembles, we first show that winter ocean temperature extremes over the Northeast Pacific significantly resemble the representations of the North Pacific decadal variability (e.g., North Pacific Gyre Oscillation, NPGO and Pacific Decadal Oscillation, PDO). We find that the multi-year warm anomalies in the Northeast Pacific are associated with the consecutive occurrences of NPGO-like and PDO-like ocean signatures via ENSO atmospheric teleconnections. The results suggest that the increasing coupling between NPGO and PDO leads to the prolonged North Pacific marine heatwaves, and those warm events are becoming stronger in amplitude with a larger area under anthropogenic forcing. Combining satellite data with several observation reanalysis products, we next offer observational evidence revealing that a preferred decadal timescale (~10yrs) in the North Pacific western boundary current system, the Kuroshio Extension (KE) region, may arise from an interaction with the central tropical Pacific (CP) (e.g., CP-ENSO). The results show that the KE decadal dynamic state can drive a persistent downstream wind stress curl that projects on atmospheric forcing of the CP-ENSO, which in turn excites westward oceanic Rossby waves in the central North Pacific that reach the western boundary back. Consistent with this hypothesis, the cross-correlation function between the KE and CP-ENSO indices exhibits a significant sinusoidal shape corresponding to a preferred spectral power at 10yrs. Using high-resolution coupled climate models, we finally show that the decadal KE dynamics are not independent of the central tropics and their coupling is becoming stronger under anthropogenic forcing. The results suggest that a higher amplitude quasi-decadal KE/CP-ENSO sequence under warmer climate may allow a stronger basis for decadal predictions of Pacific climate variability, further for societally relevant biogeochemical quantities (e.g., salinity, oxygen, and chlorophyll-A) and fisheries.
Feb. 28Informal Seminar - MadhuLatha Akkisetti-via Google.MeetsKorean Institute of Atmospheric Prediction SystemsSurface and Boundary-Layer Interactions in Continental Convection: Improving convective-scale simulations through better representation of turbulence and land-surface heterogeneity
Convective storms and especially organized deep convective systems are a crucial source of precipitation during what would otherwise be a hot, dry summer over continental regions. In some areas, particularly agricultural regions like the central US, convective systems are the principal source of rain during the warm season. However these systems also pose hazards to life and property as severe convective storms bring flooding, frequent cloud to ground lightning, high winds, large hail, and tornadoes to these regions. Despite their importance, continental convection has proven to be a significant challenge for global weather and climate models to represent realistically. The initiation, growth, and organization of convective storms are strongly governed by mesoscale and small-scale processes not resolved by large-scale global models, and typically the study and prediction of such storms is done by regional high-resolution models; however these regional models are only useful for simulations of at most a few days, before boundary errors and mean-state drift contaminate the interior solution. Further, both the pre-storm environment as well as the evolution of convective storms are strongly coupled to the planetary boundary layer and to the land surface, which are also difficult for many models to represent realistically. Both modeling and observational studies support that the differential heating of the atmosphere by a heterogeneous land surface can induce a secondary circulation that influences the turbulent transport in the planetary boundary layer (PBL) and development of clouds (Taylor et al., 2007). Convective initiation is affected by the distribution of soil moisture which partitions the surface available energy into latent heat and sensible heat fluxes and in turn affect the boundary layer evolution (Betts et al., 1996). Many different processes (Figure 1) over a wide range of space and time scales govern the interactions of the PBL and clouds with a heterogeneous land surface. A variable resolution global model with two-way global to regional interaction, (Madhulatha et al., 2018, Harris et al., 2019) can be a powerful tool for both examining the relevant interactions across temporal and spatial scales as well exploiting these processes to enable skillful prediction of continental convection across these scales. Join Hangouts Meet
Mar. 5Wei Zhang - Postdoc CandidateVisiting Scientist Program (Univ of Maimi)Understanding the Signal-to-noise Paradox in Climate Predictions
Increasing evidence has been documented in recent years for the existence of the signal-to-noise paradox, where in the ensemble-based climate prediction, model ensemble mean forecast generally shows higher correlations with observations than with individual ensemble members. This seems to lead to a paradox referred to as the signal-to-noise paradox that the model makes better predictions for the reality than predicting itself. The signal-to-noise paradox highlights a potentially serious problem with climate model predictions as previous seasonal-to-decadal model predictions may be underestimated due to the existence of the paradox. Here we introduce a simple Markov model framework to represent the ensemble forecasts and aim to explain why the paradox exists. With the Markov model framework, one can easily reproduce the signal-to-noise paradox, the existence of which is dependent on the relative amplitude of the persistence and noise variance in models and observations. The North Atlantic Oscillation indices based on uninitialized historical simulations of 40 CMIP5 models have been analyzed, suggesting that the signal‐to‐noise paradox is common in currently available coupled models, and the paradox is not due to problems with initialization processes used in the seasonal‐to‐decadal predictions in previous studies and is instead a general model problem. We also identify the widespread existence of the signal-to-noise paradox in SST and SLP fields in CMIP5 models and the results suggest that the regions with the signal-to-noise paradox are very likely to underestimate the predictability. Increased ocean or atmospheric model resolution may have the potential to eliminate the signal-to-noise issue.
Apr. 1Virtual Lunchtime Seminar - Chris CollimoreCUNYThe Effect of High Aerosol Concentrations on Tropical Cyclone Formation
Prior studies have shown that high levels of aerosols in the environment of convective clouds can cause the convection to become more vigorous through a five step process. Tropical cyclones (TCs) start as clusters of convective clouds and vigorous convection is important for the development of a cluster into a TC. This study tests the hypothesis that high aerosol content in the vicinity of a tropical convective cloud cluster increases the chance that the cluster will develop into a TC by invigorating its convection. To test this hypothesis, this study centers on 63 clusters that developed into TCs (developers) and 98 clusters that dissipated before becoming a TC (nondevelopers). Using aerosol observations from the MODIS satellite instrument, it was established that the average aerosol content surrounding developers was significantly higher than that surrounding nondevelopers. Furthermore, other satellite measurements (from MODIS and AIRS) provide evidence that each of the five steps associated with convective invigoration by aerosols took place in the developers, suggesting that the large aerosol content surrounding developers invigorated their convection. Altogether, the data suggest convective cloud clusters embedded in regions with elevated aerosol levels may have a greater likelihood of developing into TCs because the aerosols may invigorate their convection. Join Hangouts Meet Meeting ID Phone Numbers (‪US‬) ‪+1 405-561-1457‬ PIN: ‪685 812 451#‬
Apr. 30Formal Seminar - Gabriele PfisterNCAR (Boulder, CO)FRAPPÉ - Air Quality Research as a Key to Addressing Societal Needs
High ozone pollution during summertime has been an issue for the Colorado Front Range for many years. Urban and industrial emissions with the addition of a rapidly expanding oil and natural gas sector create a highly reactive chemical mix, which is complicated by complex terrain driven meteorology and elevated ozone background levels. To characterize the main contributions to local ozone pollution, two large air quality studies involving four aircraft and extensive ground-based measurements were conducted in the area in the summer of 2014: the NCAR/NSF/State of Colorado Front Range Air Pollution and Photochemistry Éxperiment (FRAPPÉ) and the 4th deployment of the NASA DISCOVER-AQ. I will give an overview of the campaigns, and present a summary of the results which are focused around Front Range dynamics, ozone production and source attribution. The main findings suggest major contributions from the transportation sector as well as from the oil and gas extraction sector, with minor contributions from energy generation and industry. The meteorological conditions were also found to be critical in creating situations conducive to high ozone in the area. This is a VIRTUAL SEMINAR. Google.Hangout address is as follows: Meeting ID Join by phone ‪+1 617-675-4444‬ PIN: ‪601 965 633 2741‬#
Jul. 30Meet GFDL's Hollings Interns and see their PresentationsVarious Schools of LearningEarth System Interactions from the atmosphere to the deep ocean
Please join my meeting from your computer, tablet or smartphone. You can also dial in using your phone. United States: +1 (646) 749-3112 Access Code: 704-200-125Hollings Presentations: Earth System interactions from the atmosphere to the deep ocean: 11:00-11:20 - Sarah Weidman: "Detecting and Projecting Changes in Extreme Temperature Events over Alaska" 11:20-11:35 - Conor Broderick: "Effects of climate change and air quality policy on air pollutant concentrations and climate". 11:40-11:55 - Nicholas Balasus: "Representation of marine organic aerosols in the GFDL Earth System Model" 12:00-12:15 - Isabella Rios: "Modeling the Potential for Nutritional Resilience of Coral Reefs Under Thermal Stress" 12:20-12:35 - Rucha Wani: "Evaluating Ecosystem Vulnerability to Acidification at Continental Slopes and mid-Atlantic Ridge in GFDL's CMIP6 Models"
Aug. 6Summer Intern Presentations (2)GFDLSee Description
Meeting ID Phone Numbers (‪US‬) ‪+1 617-675-4444‬ PIN: ‪204 210 394 6511#‬ 10:00-10:20 Akira Di Sandro Title: "Validating Tropical Pacific Circulation in GFDL Ocean Models" 10:20-10:40 Quiana Berry Title: "Assessing drivers of primary productivity in the Humboldt Current"
Aug. 12AMOL/GFDL Science Connections WorkshopAMOL/GFDL Science Connections Workshop
This is a virtual workshop. Meeting ID Phone Numbers (‪US‬) ‪+1 617-675-4444‬ PIN: ‪551 263 193 0390#‬
Aug. 12AMOL/GFDL Science Connections WorkshopAMOL/GFDL Science Connections Workshop
This is a virtual workshop. Meeting ID Phone Numbers (‪US‬) ‪+1 617-675-4444‬ PIN: ‪551 263 193 0390#‬
Aug. 13AMOL/GFDL Science Connections WorkshopAMOL/GFDL Science Connections Workshop
This is a virtual workshop. Meeting ID Phone Numbers (‪US‬) ‪+1 617-675-4444‬ PIN: ‪194 997 614 8158#‬
Aug. 13AMOL/GFDL Science Connections WorkshopAMOL/GFDL Science Connections Workshop
This is a virtual workshop. Meeting ID Phone Numbers (‪US‬) ‪+1 617-675-4444‬ PIN: ‪194 997 614 8158#‬
Aug. 13Summer Intern Presentations-Avery Barnett / Surabhi BiyaniGrinnel College and University of WashingtonPlease see Description for Titles of both Presentations
Join with Google Meet Join by phone ?(US) +1 617-675-4444? PIN: ?152 910 743 6312?# 12:00pm-12:30pm: Presenter: Avery Barnett - Grinnel College Host: Brandon Reichl Program: CIMES Title: Validation of WAVEWATCH III Simulations under Hurricanes in Shallow and Deep Water. Abstract: The validation of surface wave models in shallow water under hurricanes remains a difficult task due to the limited number of observations taken in this regime. In this study we utilize airborne SRA observations of the hurricane wave field under three hurricanes (Hurricane Irene, 2011; Hurricane Ingrid, 2013; and Hurricane Karen, 2013) and use this data to assess the skill of wave simulations from NOAA's surface wave model WAVEWATCH III. This dataset includes several examples of observed wave spectra in shallow water conditions (
Aug. 13Surabhi BiyaniUniversity of Washington / CIMESDetecting and projecting changes in U.S. precipitation extremes
Join with Google Meet Join by phone ‪(US) +1 617-675-4444‬ PIN: ‪152 910 743 6312‬# no abstract provided
Aug. 14Tsung-Lin Hsieh - FPO Defense GFDLTheory and hierarchical modeling of tropical and extratropical cyclones
Aspects of tropical and extratropical cyclone dynamics and their relationships with the climate are investigated. Theoretical advances are made in the development of analytical approximations verified in model experiments designed with hierarchical levels of process representation. Starting with the quasi-geostrophic theory, a new regime of solutions is investigated, which challenges the classical theories of wave-mean flow interaction. The results show the emergence of surface easterlies in the baroclinic zone, as opposed to the Earth-like surface westerlies, in the parameter space where the quasi-linear approximation of the large-scale midlatitude circulation breaks down. With an increased level of complexity, a theory is developed to connect the convection-scale moist dynamics with the synoptic-scale circulation of a mature baroclinic cyclone. Verified in a quasi-steady simulation of a moist baroclinic cyclone, the theory establishes limits within which a rescaling of nonhydrostatic dynamics improves the representation of convection in global climate models. A diagnostic theory is developed to explain the frequency of tropical cyclones simulated in global climate models. The complex relationship between the cyclone frequency and the large-scale circulation is simplified by decomposing the cyclone development process. A hierarchy of model experiments are conducted to isolate specific processes and to evaluate the corresponding components in the theory. The theory is applied to realistic simulations of historical and future climates, as well as observational tropical cyclone records. Physical interpretations are established regarding the diversity of tropical cyclone simulations across models and the projected frequency in response to various global warming perturbations. Meeting ID Phone Numbers (‪US‬) ‪+1 617-675-4444‬ PIN: ‪570 173 102 3988#‬
Aug. 18AOS Summer Workshop on Cloud Climate Feedbacks w/Timothy CroninPrinceton UniversityHow can we use idealized model configurations to attempt to constrain cloud feedbacks?
Abstract: I will talk about three angles of attack on questions tied to this broad subject that my work has recently pursued. First, how does convective aggregation affect climate sensitivity? Simulations of radiative-convective equilibrium in a long-channel geometry were found to have a somewhat realistic distribution of large-scale dynamical regimes (Cronin & Wing, 2017). This prompted us to look at how clouds and circulation change with surface temperature, and how these affect climate feedbacks. Using a novel approximate radiative kernel methodology, we found that cloud feedbacks are small and positive, but that the overall climate sensitivity is lower in the channel configuration with aggregated convection than a smaller domain with disaggregated convection. Second, precipitation efficiency has been found to be a key parameter controlling cloud feedbacks in global climate models - can we constrain it and the direction of its change with warming in idealized simulations? We found that precipitation efficiency tends to increase with surface warming in small-domain simulations, mostly due to increasing cloud water content and the nonlinearity of precipitation formation by autoconversion (Lutsko & Cronin, 2018). Third, how do SST patterns influence cloud feedbacks? I will describe simulations of "Mock-Walker cells'' forced by sinusoidal patterns in long-channel geometry; preliminary results suggest that cloud feedbacks are much more strongly positive when the SST contrast between warm and cold pools is weak (El Nino-like) than when it is strong (La Nina-like). POC: Elizabeth Yankovsky
Aug. 18AOS Summer Workshop on Cloud Climate Feedback with Mark ZelinkaPrinceton University Cloud feedbacks, climate sensitivity, and observational constraints
Abstract: In the plenary talk I will discuss the causes of higher climate sensitivity in the latest state-of-the- art CMIP6 Earth system models relative to their predecessors in CMIP5. Taken as a whole, these latest models are more sensitive primarily because they have stronger amplifying cloud feedbacks, particularly in the extratropics, where low clouds become less extensive and less reflective as the planet warms. This stronger positive cloud feedback arises due to changes in model physics and may be related to improved representation of cloud phase. Given the continued importance of low cloud feedback in driving uncertainty in climate sensitivity across climate models and between model generations, I will then discuss ongoing work that is attempting to constrain the global marine low cloud feedback using satellite observations of how low cloud properties respond to individual cloud-controlling factors. This work indicates that the observed sensitivity of low clouds to their meteorological controls is incompatible with very high or very low values of climate sensitivity. POC: Elizabeth Yankovsky
Aug. 19AOS Summer Workshop on Cloud Climate Feedback with Ivy TanPrinceton UniversityMixed-Phase Clouds and Extratropical Cloud Optical Depth Feedback: their Importance for Climate Sensitivity and Arctic Amplification
Abstract: I'll start by motivating the need to better represent mixed-phase clouds in climate models, and their ramifications for the extratropical cloud optical depth feedback, which has been linked to the higher climate sensitivity of the CMIP6 models but yet whose sign is currently uncertain. Using the emergent constraint approach, I will present a unique method that uses satellite observations to decompose the contributions from clouds to the feedback categorized by their thermodynamic phase. Using this as guidance, I will discuss the extent to which shifts from stratocumulus to cumulus clouds contribute to a positive extratropical cloud optical depth feedback based on the recent satellite record. This will be followed by an analysis of the role of ice nucleation in the feedback based on version 5 of NASA's Goddard Earth Observing System (GEOS-5) model. Finally, observational constraints on the cloud optical depth feedback are proposed based on lessons learned about the importance of the representation of cloud microphysical properties for large-scale feedback. POC: Elizabeth Yankovsky
Aug. 19AOS Summer Workshop on Cloud Climate Feedback with Dennis HartmannPrinceton UniversityTropical SST Contrast in a Warmer Climate: Radiation, Cloud and Circulation Interactions
Abstract: The Tropical SST contrast is an important subject in climate sensitivity and climate impacts research. A brief history of such studies will be given, followed by an investigation employing the GFDL AM2 GCM in Tropic World configuration, Slab Ocean, No Rotation, Uniform Insolation. In this configuration SST contrasts naturally develop in response to aggregation of convection and the development of a large-scale circulation connecting the warm & convecting, and cooler & subsiding regions. As the SST is raised from current to warmer tropical values, the SST contrast at first increases and then decreases. The solutions also oscillate about their equilibrium SST difference, and these oscillations can be used as a probe to investigate the mechanisms of the oscillation. A draft paper is available here: Hartmann, D.L., B.D. Dygert, Q. Fu and P.N. Blossey, 2020: The Warming Physics of the Tropic World: Part 1 Mean State JAMES, submitted link here. A draft Part 2 on the cycles may be submitted and available by the time of the workshop. POC: Elizabeth Yankovsky
Aug. 20Summer Intern Presentation - Natalie O'LearyPrinceton UniversityA walk in the cloud: Facilitating climate research using Amazon Web Services
no abstract provided. Connection Info: Join by phone ‪(US) +1 617-675-4444‬ PIN: ‪422 801 607 9334‬#
Aug. 21AOS Summer Workshop on Cloud Climate Feedback Panel DiscussionPrinceton UniversityPanel Discussion
Connection Information: Meeting ID Phone Numbers (‪US‬) ‪+1 617-675-4444‬ PIN: ‪383 745 440 1267#‬
Aug. 28Elizabeth Yankovsky - FPO DefensePrinceton UniversityModeling and parameterizing submesoscale turbulence in dense Arctic flows
Meeting ID Phone Numbers (‪US‬) ‪+1 617-675-4444‬ PIN: ‪217 819 271 6168#‬ Dense gravity currents forced by surface buoyancy loss over continental shelf regions are important contributors to subsurface and abyssal ventilation throughout the World Ocean, yet remain challenging to model accurately. In this thesis, we present idealized experiments of rotating terrain-following gravity currents employing the nonhydrostatic MITgcm in z coordinates and the hydrostatic GFDL-MOM6 in z* and isopycnal coordinates. In the highest-resolution simulations, the dense flow undergoes geostrophic adjustment and forms bottom- and surface-intensified jets. The density front along the topography combined with geostrophic shear initiates submesoscale symmetric instability (SI), which leads to onset of secondary shear instability, dissipation of geostrophic energy, and irreversible mixing. We explore the impact of vertical coordinate, resolution, and parameterization of shear-driven mixing on water mass transformation. In isopycnal coordinates, limited vertical resolution in abyssal regions leads to inadequate representation of mixing. We develop and implement a parameterization for SI-driven turbulence to mediate this issue. The scheme is based on identifying unstable regions through a balanced Richardson number criterion and slumping the isopycnals towards a balanced state. A fraction of the potential energy released by the slumping is passed to the shear mixing parameterization, so that potential energy extracted from the geostrophic flow by SI is converted to kinetic energy and used for vertical mixing. Such a scheme becomes crucial as ocean models move towards resolving mesoscale eddies and fronts but not the submesoscale phenomena they host. In the final thesis component, we examine how state-of-the-art global ocean models currently represent water transformation processes in the Arctic. We consider a 1/4 degree and analogous 1/8 degree model and find that ventilation by overflows as well as transformation of the warm, salty Atlantic inflow both contribute to creating highly dense waters in the Eurasian shelves. The 1/8 degree model performs better in capturing transient dense flows emanating from polynyas around coastal islands such as Novaya Zemlya; the 1/4 degree model marginally resolves overflows but has an overly diffuse vertical structure. As a next step in bridging our idealized process studies with the global simulations, we will perform regional mesoscale-resolving modeling with our SI parameterization to further constrain Arctic ventilation pathways.
Sep. 29Informal Seminar - Kuhlei DuttLamont-Doherty Lab Diversity OfficerAdvancing Diversity and Inclusion in the Geosciences
For connection information, please contact The geosciences are among the least diverse STEM fields, with little to no change in racial diversity over the last few decades. The less diverse a field, the greater the reliance on stereotypes and implicit biases, which in turn disproportionately impacts marginalized groups such as women, people of color, and LGBTQ+. Progress towards diversification can only come with a concerted shift in mindsets and a deeper understanding of complex topics such as race, especially in a predominantly White field. This session will provide insights and guidelines on advancing diversity and inclusion in the geosciences, with a focus on understanding systemic racism in the geosciences.
Sep. 30Lunchtime Seminar Series - Dan MurphyNOAA CSLSize-Dependent Aerosol Climate Forcing and Chemistry in the Lower Stratosphere
We have new measurements of the size and composition of particles in the lower stratosphere. The lower stratosphere has had frequent perturbations not only from moderate volcanic eruptions but also other sources. These measurements have implications for the climate forcing and chemical impacts of aerosol particles in the lower stratosphere in the present-day stratosphere as well as the implications for volcanic or intentionally added material. Some of the impacts of particles in the lower stratosphere are climate forcing, surface area for heterogeneous chemistry, infrared heating, production of diffuse light, and possible effects on photolysis. Sulfuric acid particles in the background stratosphere are near the optimal diameter for climate forcing. Mixed tropospheric particles that make their way into the stratosphere are less efficient at climate forcing but have significant surface area for possible heterogeneous chemistry that can affect ozone. Sulfuric acid particles after the Mount Pinatubo eruption had relatively little surface area compared to their climate impact. Added material could therefore easily have more impact on heterogeneous chemistry than an analogy to volcanic eruptions would suggest. Infrared heating is more important for aerosol in the lower stratosphere than it is in the lower troposphere. There is no optimum size for added material that simultaneously minimizes all potential side effects such as heterogeneous chemistry and reduction of direct sunlight.
Oct. 14Lunchtime Seminar Series - Nadir Jeevanjee GFDLHow High the Sky? Tropospheric Depth and H2O Spectroscopy
Recent work has shown that the depth of the troposphere is roughly set by the temperature at which atmospheric radiative cooling begins to decline, at around 220 K. This implies a deepening of the troposphere with warming, and also has significant implications for cloud feedbacks. This radiative cooling decline has been linked to CC scaling of water vapor, but its exact origins remain unclear. In this talk we present analytical Simple Spectral Models (SSMs) for longwave radiative cooling which quantitatively capture this phenomena and other aspects of radiative cooling. Using these models, we show that the decline at 220 K results from an analogous decline in the distribution of H2O absorption coefficients, which when combined with CC scaling can be used to derive the 220 K temperature from first principles.