News Update on Climatology Research: June – 2019

The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present)

The Global Precipitation meteorology Project (GPCP) Version-2 Monthly Precipitation Analysis is represented. This globally complete, monthly analysis of surface precipitation at two.5° latitude × two.5° line of longitude resolution is on the market from Gregorian calendar month 1979 to the current. it’s a united analysis that includes precipitation estimates from low-orbit satellite microwave information, geosynchronous-orbit satellite infrared information, and surface gauge observations. The merging approach utilizes the upper accuracy of the low-orbit microwave observations to calibrate, or adjust, the additional frequent fixed infrared observations. The dataset is extended into the premicrowave era (before mid-1987) by victimisation infrared-only observations tag to the microwave-based analysis of the later years. The combined satellite-based product is adjusted by the gauge analysis. The dataset archive additionally contains the individual input fields, a combined satellite estimate, and error estimates for every field. This monthly analysis is that the foundation for the GPCP suite of product, together with those at finer temporal resolution. The 23-yr GPCP meteorology is characterised, along side time and area variations of precipitation. [1]

Climatology of the terrestrial seasonal water cycle

Calculations of the spatial  and seasonal differences of the continental fields of snow‐cover, soil wet and evapotranspiration are given and taken. The calculations were created with a water budget associate degreealysis that’s supported determined average monthly precipitation and an estimate of potential evapotranspiration derived from observed average monthly surface temperature, employing a changed version of the tactic of Thornthwaite. Monthly average water budget analyses were created for thirteen,332 stations over the world and, then spatially interpolated to an everyday grid at 1° by 1° latitude‐longitude intervals. From the monthly fields on a 4° by 5° set of the 1° by 1° grid, the annual mean and variance furthermore because the initial and second annual harmonics were extracted and are displayed on international maps. Of the 3 fields, soil wet has the most important space‐time variation; snow‐cover the littlest variation; associate degreed evapotranspiration an intermediate level of variation. [2]

A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP)

During the Nineteen Nineties, ocean sampling expeditions were distributed as a part of the planet Ocean Circulation Experiment (WOCE), the Joint international Ocean Flux Study (JGOFS), and also the Ocean Atmosphere Carbon Exchange Study (OACES). later on, a bunch of U.S. scientists synthesized the info into simply usable and promptly obtainable product. This collaboration is understood because the international Ocean information Analysis Project (GLODAP). Results were incorporate into a standard format information set, separate by ocean. For comparison functions, every ocean information set includes atiny low range of high‐quality historical cruises. {the information|the info|the information} were subjected to rigorous internal control procedures to eliminate systematic data mensuration biases. The label Nineteen Nineties information were wont to estimate evolution greenhouse emission, potential pH, fluorocarbon watermass ages, fluorocarbon partial pressure, bomb‐produced atomic number 6, and natural atomic number 6. These quantities were incorporate into the measured information files. the info were wont to manufacture objectively gridded property maps at a 1° resolution on thirty three depth surfaces chosen to match existing climatologies for temperature, salinity, oxygen, and nutrients. The mapped fields square measure taken as associate annual mean distribution in spite of the quality therein assumption. each the label information and also the gridded product square measure obtainable from the CO2 info Analysis Center. Here we tend to describe the necessary details of the info treatment and also the mapping procedure, and gift outline quantities and integrals for the assorted parameters. [3]

The ionospheric irregularities climatology over Svalbard from solar cycle 23

The paper presents Associate in Nursing new description of the meteorology of ionospheric irregularities over the Arctic derived from the longest international Navigation Satellite Systems information series ever collected for this specific aim. 2 officer and scintillation receivers are acting at Ny-Ålesund (Svalbard, NO), the primary of that has been put in in late Gregorian calendar month 2003. They sample the L1 and L2 signals at 50 Hz from all the GPS satellites in sight. The receivers monitor a neighborhood of concerning 600 km radius that features the auroral and cusp/cap regions within the European longitudinal sector. The length of the info series and therefore the privileged website of observation enable describing the Arctic part on concerning 2 star cycles, from the down section of cycle twenty three to nearly the top of cycle twenty four. Our analysis results into an in depth assessment of the semipermanent behaviour of the part below star most and solar minimum conditions, as well as many periods of rattled ionospheric weather caused by unfavourable helio-geophysical conditions. Since November 2015, a multi-constellation GNSS receiver has been deployed in Ny-Ålesund, providing the chance to perform the ionospheric meteorology from uranologist signals. The results supply realistic options of the high latitude part which will considerably contribute to the required enhancements of foretelling models, providing a broad spectrum of ionospheric reactions to totally different area atmospheric condition. [4]

On a Hybrid Clayton-Gumbel and Gumbel-Frank Bivariate Copulas with Application to Stock Indices

The study proposes 2 protrusive convolution based mostly quantity Archimedean copulas with their joint distribution functions and conditional distribution functions. many simulations were performed exploitation sample sizes one hundred,1000, ten thousand and one million for combos of distributions: Gamma and exponential, traditional and exponential, Gamma and traditional, Chi-square and Poisson additionally as Skew traditional and skew traditional for the pairs of random variables to assess the performance of the models below totally different pairs of distributions. exploitation the tactic of most chance estimation, estimates were obtained for the chance operate and employed in getting Akaike data Criterion (AIC) and Bayesian data Criterion (BIC) for comparison of the planned linking verb models with existing linking verb models. The models were applied to 2 listed stocks on the Republic of Ghana stock market. In all, the planned models, Clayton-Gumbel and Gumbel-Frank outperformed the prevailing models. [5]


[1] Adler, R.F., Huffman, G.J., Chang, A., Ferraro, R., Xie, P.P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D. and Gruber, A., 2003. The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present). Journal of hydrometeorology, 4(6), pp.1147-1167. (Web Link)

[2] Willmott, C.J., Rowe, C.M. and Mintz, Y., 1985. Climatology of the terrestrial seasonal water cycle. International Journal of Climatology, 5(6), pp.589-606. (Web Link)

[3] Key, R.M., Kozyr, A., Sabine, C.L., Lee, K., Wanninkhof, R., Bullister, J.L., Feely, R.A., Millero, F.J., Mordy, C. and Peng, T.H., 2004. A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP). Global biogeochemical cycles, 18(4). (Web Link)

[4] The ionospheric irregularities climatology over Svalbard from solar cycle 23

Giorgiana De Franceschi, Luca Spogli, Lucilla Alfonsi, Vincenzo Romano, Claudio Cesaroni & Ingrid Hunstad

Scientific Reportsvolume 9, Article number: 9232 (2019) (Web Link)

[5] Boateng, M., Omari-Sasu, A. Y., Frempong, N. and Avuglah, R. (2018) “On a Hybrid Clayton-Gumbel and Gumbel-Frank Bivariate Copulas with Application to Stock Indices”, Journal of Advances in Mathematics and Computer Science, 30(1), pp. 1-13. doi: 10.9734/JAMCS/2019/45668. (Web Link)