ARIMA representation for daily solar irradiance and surface air temperature time series

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Solar Variability Impact, Time Series Analysis, Climate Variability, Solar Irradiance

Scientific paper

Autoregressive integrated moving average (ARIMA) models are used to compare long-range temporal variability of the total solar irradiance (TSI) at the top of the atmosphere (TOA) and surface air temperature series. The comparison shows that one and the same type of the model is applicable to represent the TSI and air temperature series. In terms of the model type surface air temperature imitates closely that for the TSI. This may mean that currently no other forcing to the climate system is capable to change the random walk type variability established by the varying activity of the rotating Sun. The result should inspire more detailed examination of the dependence of various climate series on short-range fluctuations of TSI.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

ARIMA representation for daily solar irradiance and surface air temperature time series does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with ARIMA representation for daily solar irradiance and surface air temperature time series, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and ARIMA representation for daily solar irradiance and surface air temperature time series will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1629265

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.