The Barsine cardinalis-anomala 'species-complex' is revised. Five new species (B. pseudocardinalis Volynkin & Černý, sp. nov. from Indochina, B. fansipana Volynkin & Černý, sp. nov. from North Vietnam, B. nangkwak Volynkin & Černý, sp. nov. from North Thailand, B. incompletostriga Volynkin & Černý, sp. nov. from North-East India and B. rawanga Volynkin & Černý, sp. nov. from North Burma) and one new subspecies (B. cardinalis gemina Volynkin & Černý, ssp. nov. from North Thailand) are described. A new combination (Barsine anomala (Elwes, 1890), comb. nov. ), new synonymy (Barsine cardinalis cardinalis (Hampson, 1900) = Miltochrista erubescens Rothschild, 1936, syn. nov.), and six new species-groups are established. Adults, male and female genitalia of all species are illustrated.

Two new species similar to Cyana dohertyi (Elwes, 1890), C. lada Volynkin, Černý & Saldaitis, sp. nov. (Vietnam and China) and C. titovi Volynkin, Černý & Ivanova, sp. nov. (Vietnam) are described. A new subspecies C. dohertyi mertsana Volynkin & Černý, ssp. nov. is described from North Thailand and North Vietnam. Adults, male and female genitalia of the new and related species are illustrated.

The Cyana bianca (Walker, 1856) species-group is revised. Cyana bianca malayana Bucsek, 2012 is upgraded to the species level. A new species, C. indosinica Volynkin & Černý, sp. nov. (China: Yunnan, Thailand, Laos, Vietnam) and a new subspecies, C. quadripartita vieta Volynkin & Černý, ssp. nov. (Vietnam) are described.

A new Lithosiini species, Barsine deliciosa Volynkin & Černý, sp. n. is described from North China, Shanxi and Shaanxi provinces. A diagnostic comparison is made with Barsine flammealis Moore, 1878, Barsine linga Moore, 1859, Barsine delicia Swinhoe, 1891, Barsine conicornutata (Holloway, 1982), Barsine lucibilis Swinhoe, 1892 and Barsine striata (Bremer et Grey, 1852). Adults, male and female genitalia of the new, related and externally close species are illustrated.

NOTESProduct Description: This Climatography includes 1971-2000 normals of monthly and annual maximum, minimum, and mean temperature (degrees F), monthly and annual total precipitation (inches), and heating and cooling degree days (base 65 degrees F). Normals stations include both National Weather Service Cooperative Network and Principal Observation (First-Order) Computational Procedures: A climate normal is defined, by convention, as the arithmetic mean of a climatological element computed over three consecutive decades (WMO,1989). Ideally, the data record for such a 30-year period should be free of any inconsistencies in observational practices (e.g., changes in station location, instrumentation, time of observation, etc.) and be serially complete (i.e., no missing values). When present, inconsistencies can lead to a nonclimatic bias in one period of a station's record relative to another, yielding an "inhomogeneous" data record. Adjustments and estimations can make a climate record "homogeneous" and serially complete, and allow a climate normal to be calculated simply as the average of the 30 monthly values.The methodology employed to generate the 1971-2000 normals is not the same as in previous normals, as it addresses inhomogeneity and missing data value problems using several steps. The technique developed by Karl et al. (1986) is used to adjust monthly maximum and minimum temperature observations of conterminous U.S. stations to a consistent midnight-to-midnight schedule. All monthly temperature averages and precipitation totals are cross-checked against archived daily observations to ensure internal consistency. Each monthly observation is evaluated using a modified quality control procedure (Peterson et al.,1998), where station observation departures are computed, compared with neighboring stations, and then flagged and estimated where large differences with neighboring values exist. Missing or discarded temperature and precipitation observations are replaced using a weighting function derived from the observed relationship between a candidate's monthly observations and those of up to 20 neighboring stations whose observations are most strongly correlated with the candidate site. For temperature estimates, neighboring stations were selected from the U.S. Historical Climatology Network (USHCN; Karl et al. 1990). For precipitation estimates, all available stations were potential neighbors, maximizing station density for estimating the more spatially variable precipitation values. Peterson and Easterling (1994) and Easterling and Peterson (1995) outline the method for adjusting temperature inhomogeneities. This technique involves comparing the record of the candidate station with a reference series generated from neighboring data. The reference series is reconstructed using a weighted average of first difference observations (the difference from one year to the next) for neighboring stations with the highest correlation with the candidate. The underlying assumption behind this methodology is that tem...