Not exact matches
Even the IPCC does not concur, stating that the «Current
datasets indicate no significant observed trends in
global tropical cyclone frequency over the past century and it remains uncertain whether any reported long -
term increases in tropical cyclone frequency are robust.»
Using monthly - averaged
global satellite records from the International Satellite Cloud Climatology Project (ISCCP [5]-RRB- and the MODerate Resolution Imaging Spectroradiometer (MODIS) in conjunction with Sea Surface Temperature (SST) data from the National Oceanic and Atmospheric (NOAA) extended and reconstructed SST (ERSST)
dataset [7] we have examined the reliability of long -
term cloud measurements.
So, when the Berkeley Earth group are using their
dataset for studing long -
term trends, they are predominantly relying on the
Global Historical Climatology Network component of their
dataset.
Having said that, there are some other studies and
datasets which have been used to argue that there has a long -
term global warming trend since the Industrial Revolution.
Changes in
global surface temperature between 1900 and 2003 associated with the long -
term global warming trend in two different
datasets, GISTEMP and ERSST.
Using the UK's MetOffice
global HadCRUT4 (HC4)
dataset as a proxy for long -
term climate change, it allows for a breakdown of when such changes occurred.
The revisions to NOAA's long -
term sea surface temperature
datasets were presented in the Karl, et al. (2015) paper Possible artifacts of data biases in the recent
global surface warming hiatus.
The NASA water vapor project (NVAP) uses multiple satellite sensors to create a standard climate
dataset to measure long -
term variability of
global water vapor.
«Evidence for climate change in the satellite cloud record» «Cloud feedback mechanisms and their representation in
global climate models» «A net decrease in the Earth's cloud, aerosol, and surface 340 nm reflectivity during the past 33 yr (1979 — 2011)» «New observational evidence for a positive cloud feedback that amplifies the Atlantic Multidecadal Oscillation» «Impact of
dataset choice on calculations of the short -
term cloud feedback»
Consequently, when considering these difficulties together it is clear that we have no reliable or accurate knowledge of how
global cloud cover has varied over the past several decades, and that certainly the ISCCP cloud
dataset is not suitable for use in long -
term correlation analysis seeking to accurately establish cloud variability and trends — a fact noted by Stordal et al. (2005).
First, the chart on the right represents satellite short and long -
term acceleration plots used in the prior article; the chart of the left plots the short and long -
term warming per century acceleration rates derived from the HC4 land / sea
global dataset.
You then asked «Or perhaps you can point me to the
dataset that shows, for several individual locations for the same period as the temperature set the: * CO2 concentrations (OK, we could use Mauna Loa for that) * Aerosols (sorry, can't use
global records for that, there can be huge differences on a local scale) * Absolute humidity * TSI with correction for local albedo, including cloud albedo, and the place on earth» Well actually, I can and have for the USA in
terms of CO2, humidity (RH but AH also if you insist), and albedo, not to mention actual solar surface radiation, and various other variables (eg windspeed), as I have previously reported here for quite a few locations, eg Pt Barrow.