Sentences with phrase «observations at the global scale»

Not exact matches

While we need enhanced coverage at local scales, successful international coordination of these observations will allow for nesting of these local observations within a global context.

Obtaining reliable estimates of photosynthesis at global scale has been challenging and these new observations thus provide a new, valuable data source.

By comparing mercury observations at 50 forested, marine, and urban monitoring stations, the study published in Nature Geoscience (March 26, 2018) finds that vegetation uptake of mercury is important at the global scale.

You can also account for possible errors in the amplitudes of the external forcing and the model response by scaling the signal patterns to best match the observations without influencing the attribution from fingerprinting methods, and this provides a more robust framework for attributing signals than simply looking at the time history of global temperature in models and obs and seeing if they match up or not.

However, models would need to underestimate variability by factors of over two in their standard deviation to nullify detection of greenhouse gases in near - surface temperature data (Tett et al., 2002), which appears unlikely given the quality of agreement between models and observations at global and continental scales (Figures 9.7 and 9.8) and agreement with inferences on temperature variability from NH temperature reconstructions of the last millennium.

Answering this question requires observations and modeling at a wide range of scales from the microbial - to the global - scale.

Seeking to better understand historical changes in flooding, Do et al. (2017) analyzed records of maximum daily streamflow from 3558 locations to develop «the most comprehensive observation - based record of... streamflow at the global scale currently available.»

LOCA downscaling estimates finer - scale climate detail from a coarse - resolution global model using a new high - resolution historical observation dataset developed by researchers at the University of Colorado.

-- the overall change to the global heat balance climate from basic physics bounded by paleo observations (over time increasingly constrained by modern observations)-- the probable overall patterns of regional change at a large scale — the range of impacts.

In the mid 19th century the largest components of the uncertainty at annual time scales are the measurement and sampling uncertainty and the coverage uncertainty because there were few observations made by a small global fleet.

The two periods are of different length, and at different temperature levels, with different error bars, and we already know from Cowtan & Way and other basic observations that the so - called «global» dataset isn't representative of the scale of the change but tends to minimize differences: you can't simply subtract one rate from the other and get a valid result.

The issue is the time of the year, latitude and type.The Krakatoa problem is well known eg Stenchikov 2006 ie that the models over estimate the global forcing.Hansen suggested that the observations were incorrect, however the Giss model gets the AO sign incorrect and arctic central temps incorrect in scale and time so.This is due to the incorrect heteregenous chemistry at high latitudes eg chapter3 WMO 2003, Ozone assessment 2011.

Obtaining reliable estimates of photosynthesis at global scale has been challenging and these new observations thus provide a new, valuable data source.

the current assessment concludes that there is not enough evidence at present to suggest more than low confidence in a global - scale observed trend in drought or dryness (lack of rainfall) since the middle of the 20th century, owing to lack of direct observations, geographical inconsistencies in the trends, and dependencies of inferred trends on the index choice.

Aires, F., C. Prigent, and W.B. Rossow, 2005: Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: 2.

Prigent, C., F. Aires, W.B. Rossow, and A. Robock, 2005: Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: Relationship of satellite observations to in situ soil moisture measurements.