Macho Man

Macho Man


Strength:

OKC Standard: Power Clean

WOD:

Happy Birthday, Bart!
"Macho Man"
EMOTM for 12 Minutes...
3 Power Cleans
3 Front Squats
3 Jerks
then...
36 Toes to Bar

Daily Challenge:

OKC Standard "L Sit" (fitness standards sheet)

Mobility:

Death Stretch, Dolf Stretch 60 sec

Post loads for your Strength & Time for WOD to comments.

46 comments (Add your own)

1. Joey wrote:
Ohhhhhhhhh yeaaaaaah!

Happy Birthday!

Mon, March 25, 2013 @ 9:38 PM

2. Jason Greenwood wrote:
OKC Standard: Power Clean
175# - PR

WOD:
Happy Birthday, Bart!
"Macho Man"
EMOTM for 12 Minutes...
3 Power Cleans
3 Front Squats
3 Jerks
with 95# (DNF rounds 8, 10 & 11)
finished 12th then 36 toes to bar

Tue, March 26, 2013 @ 5:45 PM

3. AJ wrote:
Done at 0430 in an empty aircraft hangar... it's cold in Alabama

BH before
Macho Man 135#

2mi Sprint straights jog corners

Tue, March 26, 2013 @ 7:39 PM

4. Rob Ford wrote:
205# PC: still very sore from 13.3

WOD.
115#

Tue, March 26, 2013 @ 7:55 PM

5. Bart wrote:
OKC Standard: Power Clean
225# - NO PR - I pull too much with my arms & too early. Work in progress.

WOD:
"Macho Man"
EMOTM for 12 Minutes:
3 Power Cleans
3 Front Squats
3 Jerks
with 165# for 8 RDs
finished RDs 9-12 w/ 135#
T2B 4x9

Great Time ... Thanks for ALL the birthday wishes.

Tue, March 26, 2013 @ 10:03 PM

6. Drew wrote:
OKC Standard: Power Clean
225# - NO PR - I pull too much with my arms & too early. Work in progress.

WOD:
"Macho Man"
EMOTM for 12 Minutes:
3 Hang Power Cleans
3 Front Squats
3 Push Press
with 205# for all rounds. Thanks Bryan for keeping me honest and no repping me on last FS. Dont worry I re-did them.

T2B 3x12

Wed, March 27, 2013 @ 6:51 AM

7. Drew wrote:
OKC Standard: Power Clean-325
Sorry about my copy and paste fail on last post Bart. Happy B-Day

Wed, March 27, 2013 @ 6:54 AM

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Power Clean up to 175#

WOD w/ 135#
Only 1 jerk per round

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38. LarryDet wrote:
?Multi-decadal classification of synoptic weather variations, observed trends and links to rainfall characteristics over Saudi Arabia
1 Earth Program Observations and Modeling Group, Water Desalination and Reuse Center, King Abdullah University of Science and Technologies, Thuwal, Saudi Arabia
two Department of Geography, Mansoura University, Mansoura, Egypt
3 Division of Physical Sciences and Engineering, King Abdullah University of Science and Technologies, Thuwal, Saudi Arabia
An automated version for the Lamb weather type classification scheme was employed to characterize daily circulation conditions in Saudi Arabia from 1960 to 2005. Daily gridded fields of sea amount pressure (SLP) from equally the NCEP/NCAR plus the European Center for Medium-Range Weather Forecast (ECMWF) reanalysis information (ERA40) ended up applied as enter knowledge for this classification. The output catalog included ten general varieties, which describe the direction and vorticity of airflow while in the region (i.e. cyclonic, anti-cyclonic, and directional). In general, our findings indicate that cyclonic (C) days represent quite possibly the most frequent type among all days, with 69.2% with the once-a-year count of days from 1960 to 2005, followed by SE directional flows (21%). It was also determined that airflows originating from the Indian Ocean (i.e. S, SE, and E) are added frequent than those from the Mediterranean and Red Seas (i.e. W, NW, and SW). The defined weather styles ended up assessed for your presence of inter-annual and intra-annual trends employing the Mann Kendall tau statistic. The trend analysis suggests statistically significant changes during the frequencies of the majority of your weather kinds from 1960 to 2005. The relationship amongst the daily occurrence of rainfall additionally, the frequency of individual weather styles was also described making use of daily rainfall details from the community of 87 weather observatories. Outcomes demonstrate that increasing frequencies of weather sorts connected to easterly inflows service higher precipitation quantities over the study domain. Characterizing the association relating to atmospheric circulation patterns and rainfall in Saudi Arabia is important for understanding potential impacts related to climate variability and also for developing circulation-based downscaling methods.
Introduction
Atmospheric circulations participate in a critical role inside Earth s climate method and more beneficial understanding their links and interactions gives you a capacity for assessing regional climate variability, improving characterization of land-atmosphere connections and facilitating new insights into potential impacts of climate changes. In recent years, there happens to be a growing interest in studying the influence of atmospheric circulations relating to the surface climate, having a look at to enhancing our understanding of dynamic meteorological processes, this kind of as extreme weather events (Vicente-Serrano and L pez-Moreno, 2006 ; de Vries et al. below assessment). Various studies have sought to deliver evidence within the relationships concerning atmospheric circulation and inter-annual climate fluctuations on different spatial scales, as well as hemispheric (e.g. Hurrell and Deser, 2009 ), continental (e.g. Clark and Brown, 2013 ; Hoy et al. 2014 ), regional (e.g. Park and Ahn, 2014 ), and sub-regional (e.g. L pez-Moreno and Vicente-Serrano, 2007 ). Also, achievable changes from the recurrence of linked climate variables are often obtained by projecting changes while in the probability of occurrence of atmospheric regimes (Goodess and Palutikof, 1998 ). Indeed, atmospheric circulations have steadily and increasingly been employed for enhancing short-term forecasting of a great number of meteorological variables. In downscaling studies, circulation characteristics can be employed as predictors for regional and local climates (Goodess and Palutikof, 1998 ; Buchanan et al. 2002 ).
Atmospheric processes are doubtless to be reflected around the underlying weather forms. For example, anti-cyclonic patterns are typically associated with dry conditions and clear skies. For this reason, efforts have been directed over the last several decades to cultivate schemes that categorize atmospheric circulations into distinct weather kinds (Huth et al. 2008 ). The aim of these approaches is to describe the local/regional pressure characteristics, so that just about every weather type furnishes a uncomplicated configuration of the selection of weather conditions. Within this regard, although the success from weather type schemes can vary along prolonged time intervals and in regions with specified climate characteristics, possibly due to the pre-processing procedures this kind of as collection of a best classification scheme, similarity functionality and quantity of final forms, lots of authors have found that describing climate variability by suggests of weather variations is advantageous, compared to by means of circulation indices (e.g. Huth et al. 2008 ; Jacobeit et al. 2009 ). This would be since large-scale climate indices (e.g. NAO and ENSO indices) generally focus on just one or two atmospheric modes (i.e. positive, neutral and negative), whereas circulation classifications can explain a larger variety of climate behavior and variability, particularly at a lot more regional scale.
Generally, weather type classification methods are often classified into two broad groups: statistically-based methods and automated methods. A detailed discussion with the features and disadvantages of both equally methods tends to be found in Frakes and Yarnal (1997). Overall, the initially group relies on statistical techniques for classification, as well as among others, principal factors analysis (Esteban et al. 2005 ), canonical correlation analysis (Xoplaki et al. 2003 ), and cluster analysis (Littmann, 2000 ). For example, Alpert et al. (2004) applied a discriminant-based analysis to classify synoptic conditions over the eastern Mediterranean applying NCEP information for 1948 2000. Automated classification approaches, relating to the other hand, often employ current circulation-type catalogs, these kinds of because the Lamb weather styles (Lamb, 1972 ), the Muller classification (Muller, 1977 ), or the Grosswetterlagen catalog (Hess and Brezowsky, 1977 ). When statistically-based approaches may result in a great deal of courses and subgroups, weather patterns will be assigned to some exact variety of styles in automated classification schemes (Linderson, 2001 ; Goodess and Jones, 2002 ).
Saudi Arabia is defined as a typical arid region (BWh inside of the K ppen classification, 1936 ). Nonetheless, it can occasionally be subjected to severe weather phenomena (Deng et al. underneath analyze). Even while rainfall events are infrequent and occasional, intense storms can lead to severe flash-floods, with consequences on infrastructure, property and human settlements. Despite the obvious necessity of studying synoptic-scale atmospheric situations responsible for this sort of events, the atmospheric configurations related to these are generally poorly explained. In contrast to a large amount of regions, the links relating to atmospheric circulation and precipitation on the Middle East and North Africa (this includes Saudi Arabia) have received minor attention, with regional studies mostly devoted to the Mediterranean countries belonging to the region g. Morocco (Lamb and Peppler, 1987 ), Turkey (T rke and Erlat, 2005 ), and Israel (Black, 2012 ) or the Mediterranean mountains (L pez-Moreno et al. 2011 )]. Just one plausible explanation for this deficit is the lack of the finished, reliable and homogenized dataset of rainfall, that also allows for a reasonable spatial coverage. Those studies that have sought to describe the spatial patterns of climate in Saudi Arabia have generally relied with a very constrained amount of observatories of short duration (e.g. Ahmed, 1997 ; Abdullah and Almazroui, 1998 ; Rehman, 2010 ; Almazroui et al. 2012 ). Among these, Ahmed (1997) employed factor analysis to classify Saudi Arabia into distinct climate regions, by using 14 climate variables from the spatially restricted info established. A great deal more not too long ago, Almazroui et al. (2012) assessed the observed yearly rainfall over Saudi Arabia from 1978 to 2009, applying daily records from 27 observatories. From the same context, there have been restricted attempts at classification belonging to the main synoptic sorts over the region, which might be indirectly linked to regional rainfall patterns. Earlier weather type classifications over the Middle East were being restricted to the east Mediterranean (e.g. Alpert et al. 2004 ; Tsvieli and Zangvil, 2005 ).
Assessing the spatial and temporal characteristics of weather sorts in Saudi Arabia is important for two reasons. Initial, it can enhance our understanding from the doable influences of climate change and variability on atmospheric circulation in the local scale. For instance, as flood events in Saudi Arabia are associated with short duration extreme rainfall, classifying synoptic conditions over a daily basis are generally beneficial to improve our understanding of these events and to interpret the physical processes behind them. Second, it is anticipated that large-scale weather patterns are probable to respond to climate changes, particularly in terms of changes in their frequency of occurrence and variability in area and time. As these kinds of, characterizing weather forms may give you insights into the statistical association around the occurrence of unique weather regimes and rainfall response. This dependency is crucial when examining climate design simulations, as relationships developed through observation primarily based knowledge sets can be utilized in evaluation and subsequent forecasting of anticipated climate response.
The main objectives of this job are: (1) to categorize weather forms in Saudi Arabia on the daily basis by means that of an automated version for the Lamb weather varieties classification; and (two) to establish a link among weather regimes additionally, the occurrence of wet events while in the region during rainy seasons (winter and spring). Apart from providing a description of hydro-climatological interactions while in the region, this job represents the earliest attempt to classify multi-decadal circulation patterns inside of the region. Thus, this study may offer you new insights into the main characteristics of weather forms and their linkage with rainfall regimes in Saudi Arabia together with the broader region.
Study Area
Saudi Arabia is located in southwestern Asia somewhere between latitudes of 15 22 N and 32 09 N and longitudes of 34 50 E and 55 50 E. It has an area of approximately two.twenty five million km two and occupies all-around 80% belonging to the Arabian Peninsula. As demonstrated in Figure 1. it is bounded by the Red Sea to the west, the Arab Sea during the south plus the Arabian Gulf while in the east. The altitude varies from 0 to over 3000 m. Rainfall within the region is characterized by higher spatial and temporal variability, as revealed in Figure two. In general, the yearly average rainfall over the whole territory is approximately 114 mm/year. The rainy season extends from late October to April, with two peaks in late spring (March and April) and November. However, heating in the dry interior during the summer months may generate sufficient convection to establish cumulus cloud. In rare cases, the Red Sea Trough (RST) extends from East Africa through the Red Sea toward the eastern Mediterranean, allowing to the enhancement of formidable depressions over the central Red Sea, which may lead to heavy rainfall (de Vries et al. less than examination). Spatially, rainfall occurs a little more often around the southwestern regions, as orographic uplift significantly enhances rainfall around the windward sides of mountain ranges (Najd plateau and Sarawat mountains) along the Red Sea coast (Figure 2B ). The southeastern region (namely the Rub al Khali, or empty quarter) shows the lowest yearly rainfall totals, with almost no precipitation throughout the calendar year.
Figure 1. Location of your study domain plus the spatial distribution for the meteorological stations together with the 16 grid points (1 16) utilised inside the automated circulation-typing .
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