49 results match your criteria: "Canadian Centre for Climate Modelling and Analysis[Affiliation]"

Article Synopsis
  • There are significant gaps in understanding biomass carbon stocks, especially in tropical regions, which create uncertainty in predicting future carbon balance.
  • The study compares forest above-ground biomass (AGB) data from the GlobBiomass dataset with estimates from nine dynamic global vegetation models (DGVMs), revealing discrepancies in total AGB values.
  • Local human disturbances contribute to biomass density deficits in tropical areas, and regression analysis shows that these disturbances are underrepresented in DGVMs, leading to an overestimation of biomass turnover time.
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Causes of slowing-down seasonal CO amplitude at Mauna Loa.

Glob Chang Biol

August 2020

Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.

Article Synopsis
  • The seasonal changes in carbon dioxide levels in the northern hemisphere are changing, with Mauna Loa being a key location for measuring these levels.
  • Before the 1980s, the amount of carbon dioxide in the air increased during different seasons, but this change has slowed down since then.
  • This slowdown is mainly due to the effects of climate change, like droughts, which counteract the growth of plants that usually absorb more carbon dioxide.
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Article Synopsis
  • Observations indicate significant changes in Southern Hemisphere weather patterns towards the end of the 20th century, including shifts in jet streams and expansion of the Hadley cell, largely driven by ozone depletion.
  • A notable pause or slight reversal in these circulation trends has been identified around 2000, which is attributed to human activities rather than natural climate variability.
  • The recovery of stratospheric ozone, linked to the Montreal Protocol, is a critical factor for this pause, suggesting potential broader impacts on precipitation and ocean systems globally.
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Quantifying stochastic uncertainty in detection time of human-caused climate signals.

Proc Natl Acad Sci U S A

October 2019

Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550.

Large initial condition ensembles of a climate model simulation provide many different realizations of internal variability noise superimposed on an externally forced signal. They have been used to estimate signal emergence time at individual grid points, but are rarely employed to identify global fingerprints of human influence. Here we analyze 50- and 40-member ensembles performed with 2 climate models; each was run with combined human and natural forcings.

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The Paris agreement was adopted to hold the global average temperature increase to well below 2 °C and pursue efforts to limit it to 1.5 °C. Here, we investigate the event-to-event hydroclimatic intensity, where an event is a pair of adjacent wet and dry spells, under future warming scenarios.

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Rapid adjustments are responses to forcing agents that cause a perturbation to the top of atmosphere energy budget but are uncoupled to changes in surface warming. Different mechanisms are responsible for these adjustments for a variety of climate drivers. These remain to be quantified in detail.

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A record 1.2 million ha burned in British Columbia, Canada's extreme wildfire season of 2017. Key factors in this unprecedented event were the extreme warm and dry conditions that prevailed at the time, which are also reflected in extreme fire weather and behavior metrics.

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The impact of atmospheric blocking on European heat waves (HWs) and cold spells (CSs) is investigated for present and future conditions . A 50-member ensemble of the second generation Canadian Earth System Model is used to quantify the role of internal variability in the response to blocking. We find that the present blocking-extreme temperature link is well represented compared to ERA-Interim, despite a significant underestimation of blocking frequency in most ensemble members.

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In key European cities, stabilizing climate warming at 1.5 °C would decrease extreme heat-related mortality by 15-22% per summer compared with stabilization at 2 °C.

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Impact of the 2015/2016 El Niño on the terrestrial carbon cycle constrained by bottom-up and top-down approaches.

Philos Trans R Soc Lond B Biol Sci

October 2018

Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette 91191, France.

Evaluating the response of the land carbon sink to the anomalies in temperature and drought imposed by El Niño events provides insights into the present-day carbon cycle and its climate-driven variability. It is also a necessary step to build confidence in terrestrial ecosystems models' response to the warming and drying stresses expected in the future over many continents, and particularly in the tropics. Here we present an in-depth analysis of the response of the terrestrial carbon cycle to the 2015/2016 El Niño that imposed extreme warming and dry conditions in the tropics and other sensitive regions.

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Globally, latent heating associated with a change in precipitation is balanced by changes to atmospheric radiative cooling and sensible heat fluxes. Both components can be altered by climate forcing mechanisms and through climate feedbacks, but the impacts of climate forcing and feedbacks on sensible heat fluxes have received much less attention. Here we show, using a range of climate modelling results, that changes in sensible heat are the dominant contributor to the present global-mean precipitation change since preindustrial time, because the radiative impact of forcings and feedbacks approximately compensate.

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Reduction in global area burned and wildfire emissions since 1930s enhances carbon uptake by land.

Nat Commun

April 2018

Climate Research Division, Environment and Climate Change Canada, Victoria, BC, V8W 2Y2, Canada.

The terrestrial biosphere currently absorbs about 30% of anthropogenic CO emissions. This carbon uptake over land results primarily from vegetation's response to increasing atmospheric CO but other factors also play a role. Here we show that since the 1930s increasing population densities and cropland area have decreased global area burned, consistent with the charcoal record and recent satellite-based observations.

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We investigate the climate response to increased concentrations of black carbon (BC), as part of the Precipitation Driver Response Model Intercomparison Project (PDRMIP). A tenfold increase in BC is simulated by 9 global coupled-climate models, producing a model-median effective radiative forcing (ERF) of 0.82 (ranging from 0.

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As the global temperature increases with changing climate, precipitation rates and patterns are affected through a wide range of physical mechanisms. The globally averaged intensity of extreme precipitation also changes more rapidly than the globally averaged precipitation rate. While some aspects of the regional variation in precipitation predicted by climate models appear robust, there is still a large degree of inter-model differences unaccounted for.

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Peak runoff in streams and rivers of the western United States is strongly influenced by melting of accumulated mountain snowpack. A significant decline in this resource has a direct connection to streamflow, with substantial economic and societal impacts. Observations and reanalyses indicate that between the 1980s and 2000s, there was a 10-20% loss in the annual maximum amount of water contained in the region's snowpack.

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One of the most repeatable phenomena seen in the atmosphere, the quasi-biennial oscillation (QBO) between prevailing eastward and westward wind jets in the equatorial stratosphere (approximately 16 to 50 kilometers altitude), was unexpectedly disrupted in February 2016. An unprecedented westward jet formed within the eastward phase in the lower stratosphere and cannot be accounted for by the standard QBO paradigm based on vertical momentum transport. Instead, the primary cause was waves transporting momentum from the Northern Hemisphere.

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Weighting climate model projections using observational constraints.

Philos Trans A Math Phys Eng Sci

November 2015

Canadian Centre for Climate Modelling and Analysis, Environment Canada, University of Victoria, PO Box 1700, STN CSC, Victoria, British Columbia, Canada V8W 2Y2

Projected climate change integrates the net response to multiple climate feedbacks. Whereas existing long-term climate change projections are typically based on unweighted individual climate model simulations, as observed climate change intensifies it is increasingly becoming possible to constrain the net response to feedbacks and hence projected warming directly from observed climate change. One approach scales simulated future warming based on a fit to observations over the historical period, but this approach is only accurate for near-term projections and for scenarios of continuously increasing radiative forcing.

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The impact of parametrized convection on cloud feedback.

Philos Trans A Math Phys Eng Sci

November 2015

Geophysical Fluid Dynamics Laboratory (GFDL), Princeton, NJ, USA.

Article Synopsis
  • The study examines how sensitive cloud feedbacks are to the removal of convective parametrizations in climate models, finding mixed results in their overall impact on cloud feedback ranges.
  • Despite turning off convection, the models still show a similar range of cloud feedbacks, suggesting that other processes also influence this variability.
  • The findings highlight that certain cloud feedback characteristics, like the positive feedback from shallow clouds, remain consistent even without parametrized convection, although differences in longwave feedback are reduced in regions with strong precipitation.
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An analysis of diabatic heating and moistening processes from 12 to 36 h lead time forecasts from 12 Global Circulation Models are presented as part of the "Vertical structure and physical processes of the Madden-Julian Oscillation (MJO)" project. A lead time of 12-36 h is chosen to constrain the large-scale dynamics and thermodynamics to be close to observations while avoiding being too close to the initial spin-up of the models as they adjust to being driven from the Years of Tropical Convection (YOTC) analysis. A comparison of the vertical velocity and rainfall with the observations and YOTC analysis suggests that the phases of convection associated with the MJO are constrained in most models at this lead time although the rainfall in the suppressed phase is typically overestimated.

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Background: Since the 1980s, populations of the Asian tiger mosquito Aedes albopictus have become established in south-eastern, eastern and central United States, extending to approximately 40°N. Ae. albopictus is a vector of a wide range of human pathogens including dengue and chikungunya viruses, which are currently emerging in the Caribbean and Central America and posing a threat to North America.

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Timing of the departure of ocean biogeochemical cycles from the preindustrial state.

PLoS One

May 2016

Canadian Centre for Climate Modelling and Analysis, Victoria, B.C., Canada; Fisheries and Oceans Canada, Institute of Ocean Sciences, Sidney, BC, Canada.

Changes in ocean chemistry and climate induced by anthropogenic CO2 affect a broad range of ocean biological and biogeochemical processes; these changes are already well underway. Direct effects of CO2 (e.g.

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Stratospheric water vapour is a powerful greenhouse gas. The longest available record from balloon observations over Boulder, Colorado, USA shows increases in stratospheric water vapour concentrations that cannot be fully explained by observed changes in the main drivers, tropical tropopause temperatures and methane. Satellite observations could help resolve the issue, but constructing a reliable long-term data record from individual short satellite records is challenging.

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Observations show that Arctic-average surface temperature increased from 1900 to 1940, decreased from 1940 to 1970, and increased from 1970 to present. Here, using new observational data and improved climate models employing observed natural and anthropogenic forcings, we demonstrate that contributions from greenhouse gas and aerosol emissions, along with explosive volcanic eruptions, explain most of this observed variation in Arctic surface temperature since 1900. In addition, climate model simulations without natural and anthropogenic forcings indicate very low probabilities that the observed trends in each of these periods were due to internal climate variability alone.

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