Suggestions(2)
Exact(1)
As mentioned above, we utilized the monthly means data; therefore, we could not examine the characteristics of CAPE vis-+a-vis rainfall at a fine time scale (less than a month).
Similar(59)
A variety of secondary products are also provided including weekly and monthly mean data sets.
The monthly mean data obtained from the filtered daily means are utilized to look into the features of the MSAO, MAO, and MQBO.
No linear trend in temperature at the 100-hPa pressure level is found at the Cochin station using monthly mean data.
When we screened monthly mean data at Delhi and Kolkata for the period following 1990, we found a signature of decreasing temperature.
In this section, we investigate whether there is any significant relationship between annual and large-scale variation in CAPE and rainfall at these stations using monthly mean data.
It is based on satellite observations (Ørsted, CHAMP, SAC-C and SWARM A, B and C) as well as observatory monthly mean data.
Monthly mean data for five near-surface climate variables (net radiation RN, air temperature TA, relative humidity RH, wind speed WS and surface pressure P) are analysed and compared using visual inspection, hypothesis testing and principal component analysis.
Monthly mean data from 43 ground stations located in the northern hemisphere and equipped with Dobson spectrophotometers were used for the comparison with the individual satellite instruments and the new SNNs merged time series.
On the other hand, CHAOS-6 is partly based on monthly mean data from 160 observatories till March 2016, including Hermanus, Hartebeesthoek, Tsumeb and Keetmanshoop in Southern Africa, a region characterised by rapid and irregular secular variation changes (Kotzé 2003, 2017).
The CHAOS-6 model (Finlay et al. 2016) is a geomagnetic field model based on satellite observations (Ørsted, CHAMP, SAC-C and SWARM A, B and C) as well as observatory monthly mean data between January 1997 and December 2015.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com