search.noResults

search.searching

note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
entire all-professional Maxi72 fleet withdrew. In fact, the 2016 Bermuda race was a bad look for many so-called ‘top sailors’, who swiftly withdrew their services when invited by the owner to step onboard and partake of a famous ocean race classic. Against an unfortunate backdrop the symposium was a refreshing


reminder that with the right tools a crew does not need to sweat unduly about a poor weather scenario – particularly one as two years ago in Newport with an admitted low degree of certainty. Bohlen assembled an impressive cast of weather professionals


who are recognised experts in their fields. Among these Ken McKinley spoke about the fundamentals and how effective forecasts rely on an array of factors unique to the marine environment; Lee Chesneau explained how 500mb charts are important indicators of mid-atmosphere flow and can show trends that are not apparent in surface analyses; Bohlen discussed currents, waves and their interaction with wind and effects on local weather; and forecast experts Ken Campbell from Commanders’ Weather and Joe Sienkiewicz from the National Oceanic and Atmospheric Admin - istration’s Ocean Prediction Center discussed their preferred methods for distilling what they need from an ever greater spread of data sources. All these experts addressed the role of advancing technology


and better tools, such as the GOES 16 satellite that can now provide Gulf Stream imagery to within 1nm resolution, and how the newest Ka-band Doppler scatterometer technology from NASA satellites in polar orbits will provide 1,300km-wide swathes of surface wind and current imagery data to help refine model inputs. Interesting too that the panel downplayed accuracy differences between the US GFS model and the ECMWF/Global Euro model, saying GFS is improving in the density of inputs and anyway both use the same sources of data (except GFS is not accepting data from China for security reasons). And the other – more obvious – conclusion is that there’s still


no substitute for experience: as experts they all review models constantly and develop a ‘feel’ for which one is more reliable, making their work very much a customised process. They also cautioned that for the non-professional diving into this


topic it’s too easy to get caught in a loop of information overload where the hunger for new data exceeds the ability to thoughtfully process strategies accordingly. They advocate studying in advance, recognising trends, developing a strategy, then keeping track of the trends with regular downloads of information like Grib files to update strategy as needed. (There is now a comprehensive online archive of surface analysis data going back to 1995 for those who wanted to practise reliving previous races.) Campbell was one of the forecasters of the 2016 Bermuda Race


and explained, ‘This race had numerous decision points – as a navigator you had to be able to “work the race”. In other words, make strategy judgements part of the equation, not just reciting and following model forecasts. ‘The predicted storm [in the 2016 race] was a model prediction


only, it was not imaged by satellites; and even now with GOES 16 we would be little better informed in the same situation. But better resolution of the Gulf Stream imagery may now help with refining our model inputs. ‘The competitors in 2016 were concerned about the sea -


worthiness of their boats and their crew… in my opinion there was too much concern about storm avoidance rather than sailing the race. For example, those who went west to avoid bad weather rather than staying on track did poorly since they hit light air and foul current. ‘Bottom line: you have to know when to push and when not to


push in the face of tough forecasts.’ Campbell cited an example of this from the 2008-09 Volvo Race


leg from Singapore to Qingdao, where with a particularly nasty forecast he produced for Puma he advised the team to stay put in Manila Bay and wait out the worst weather before setting out again. ‘Instead, they did what I always knew they would: they pushed


on, trying to hold on to their lead, and broke the boom – letting Telefónica Blue win the leg.’ Just as the song says: know when to hold, know when to fold. q


Dobbs Davis SEAHORSE 27 karver-systems.com KarverSailing .com/KarverSailing g THE LOCKING SPECIALIS Ranges from 6 to 90m boats FURLING-LOCK SWIVEL


No trip line required Swivelling function


ST


INTERNAL HALYA


ARD LOCK


Locking device easily accessible KFH locking technology


EXTERNAL HALYA


ARD LOCK


Compact and light weight KFH locking technology


BOOM REEF LOCK


Low compression on the boom Lightest reefing system


Lightest on the market HEADBOARD CAR LOCK


Ultra customizable


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110